How to export video annotations and sample export formats.
Export as JSON
# Set the export params to include/exclude certain fields.
export_params= {
"attachments": True,
"metadata_fields": True,
"data_row_details": True,
"project_details": True,
"label_details": True,
"performance_details": True,
"interpolated_frames": True
}
# Note: Filters follow AND logic, so typically using one filter is sufficient.
filters= {
"last_activity_at": ["2000-01-01 00:00:00", "2050-01-01 00:00:00"],
"workflow_status": "<wkf-status>"
}
export_task = project.export(params=export_params, filters=filters)
export_task.wait_till_done()
# Stream the export using a callback function
def json_stream_handler(output: labelbox.BufferedJsonConverterOutput):
print(output.json)
export_task.get_buffered_stream(stream_type=labelbox.StreamType.RESULT).start(stream_handler=json_stream_handler)
# Collect all exported data into a list
export_json = [data_row.json for data_row in export_task.get_buffered_stream()]
print("file size: ", export_task.get_total_file_size(stream_type=lb.StreamType.RESULT))
print("line count: ", export_task.get_total_lines(stream_type=lb.StreamType.RESULT))
Annotation export formats
Bounding box
{
"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0,
"left": 1371.0,
"height": 419.0,
"width": 505.0
}
}
Point
{
"feature_id": "cltd97cag01to14yslakirofl",
"feature_schema_id": "cltd977no037l07x56wfu4536",
"name": "point_video",
"value": "point_video",
"annotation_kind": "VideoPoint",
"classifications": [],
"point": {
"x": 660.134,
"y": 407.926
}
}
Polyline
{
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
Mask
Regardless of which tool is used to create a segmentation mask, the annotation will appear in the following form in the export. Whether you use AutoSegment, the brush tool, the pen tool, or the fill tool, all masks take the same format in exports.
Composite masks
Open this Colab for an interactive tutorial on exporting composite masks.
A composite mask is a cloud-hosted PNG file that contains all raster segmentation mask instances on a labeled data row (one composite mask per label).
This screenshot shows an example composite mask in PNG format. Here, the image has eight segmentation mask instances, each using the schema named "Human".
A labeled data row containing 8 instances of a segmentation mask named "Human".
When you export data rows containing segmentation masks, you can use composite_mask.url to access all segmentation masks on that data row. To access a single instance of a segmentation mask, use the color_rgb values. The color_rgb value represents the color of a single annotation or instance mask in a label.
Sample composite masks export
{
"feature_id": "clsivokxg00043b70xuf7x5tz",
"feature_schema_id": "clsgbcaqw000j071t2ga23jnc",
"name": "car",
"value": "car",
"annotation_kind": "ImageSegmentationMask",
"classifications": [],
"mask": {
"url": "https://api.labelbox.com/api/v1/projects/clsivnieg050k074i2jqaa0c3/annotations/clsivokxg00043b70xuf7x5tz/index/1/mask"
},
"composite_mask": {
// This URL contains all mask instances on the data row
"url": "https://api.labelbox.com/api/v1/tasks/clsiw88n205mw072ke4n78y5o/masks/clsivok5f00023b70r1a4fgzy",
// This RGB reflects a single mask instance
"color_rgb": [
31,
185,
101
]
}
}
Access mask data
To access the mask data, you must pass your Labelbox API key stored in client.headers in an API request.
When you grab a URL from the mask annotation in the export, the project_id and feature_id will already be in place, as shown above. Here, we provide the framework for structuring a URL with any project ID and feature ID.
import urllib.request
from PIL import Image
# Provide a project ID and feature ID if using instance masks. Alternatively, replace the entire mask_url with a URL grabbed from your export.
project_id = ""
feature_id = ""
mask_url = f"https://api.labelbox.com/api/v1/projects/{project_id}/annotations/{feature_id}/index/1/mask"
# Instead of providing the individual variables, we recommend utilizing the URL from export for composite mask
composite_mask_url = f"https://api.labelbox.com/api/v1/tasks/{task_id}/masks/{composite_mask_id}/index/1"
# Make the API request
req = urllib.request.Request(mask_url, headers=client.headers)
# Optionally, print the image of the mask
image = Image.open(urllib.request.urlopen(req))
image
Classification - Radio
{
"feature_id": "cltd97cag01tf14ysho6tfl7j",
"feature_schema_id": "cltd977np038907x5ah8l9ha7",
"name": "radio_class",
"value": "radio_class",
"radio_answer": {
"feature_id": "cltd97cag01tg14ys171a3qqr",
"feature_schema_id": "cltd977np038a07x515axagkl",
"name": "first_radio_answer",
"value": "first_radio_answer",
"classifications": []
}
}
Classification - Checklist
{
"feature_id": "cltd97cag01tq14ysb4m3nyjo",
"feature_schema_id": "cltd977nq039107x5dsml2knm",
"name": "checklist_class_global",
"value": "checklist_class_global",
"checklist_answers": [
{
"feature_id": "cltd97cag01tr14ysozjbx0c6",
"feature_schema_id": "cltd977nq039207x5ei1605s1",
"name": "first_checklist_answer",
"value": "first_checklist_answer",
"classifications": []
},
{
"feature_id": "cltd97cag01ts14ys4vvxihnw",
"feature_schema_id": "cltd977nq039407x50qs3g61l",
"name": "second_checklist_answer",
"value": "second_checklist_answer",
"classifications": []
}
]
}
Classification - Free-form text
{
"feature_id": "cltd97cag01u314ysx1h72f0h",
"feature_schema_id": "cltd977nq039707x535ufeo39",
"name": "free_text",
"value": "free_text",
"text_answer": {
"content": "sample text"
}
}
Sample project export
{
"data_row": {
"id": "clp1jolki07uy0725flku4bmv",
"global_key": "sample-video-jellyfish.mp4",
"row_data": "https://storage.googleapis.com/labelbox-datasets/video-sample-data/sample-video-2.mp4",
"details": {
"dataset_id": "clp1jokqp000p07307gtfy1w3",
"dataset_name": "video_demo_dataset",
"created_at": "2023-11-16T18:48:51.208+00:00",
"updated_at": "2023-11-16T18:48:51.801+00:00",
"last_activity_at": "2024-04-08T17:09:54.000+00:00",
"created_by": "aovalle@labelbox.com"
}
},
"media_attributes": {
"height": 1080,
"width": 1920,
"mime_type": "video/mp4",
"frame_rate": 10,
"frame_count": 100
},
"attachments": [],
"metadata_fields": [],
"embeddings": [
{
"id": "c400000000000000000000000",
"name": "Video Embedding V2 (Google MultiModal)",
"dimensions": 1408,
"is_custom": false,
"values": [
{
"value": [
-0.00489852577,
0.0287129097 ...
]
}
]
}
],
"projects": {
"cltd977uu016y08xyggep8aiv": {
"name": "Video Annotation Import Demo",
"labels": [
{
"label_kind": "Video",
"version": "1.0.0",
"id": "cltd97caz01ub14ysq8rf4x8w",
"label_details": {
"created_at": "2024-03-04T18:07:33.000+00:00",
"updated_at": "2024-03-04T18:07:33.000+00:00",
"created_by": "aovalle@labelbox.com",
"content_last_updated_at": "2024-03-04T18:07:33.369+00:00",
"reviews": []
},
"performance_details": {
"seconds_to_create": 0,
"seconds_to_review": 0,
"skipped": false
},
"annotations": {
"frames": {
"29": {
"objects": {
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": [
{
"feature_id": "cltd97cag01tc14yspm0lev2d",
"feature_schema_id": "cltd977np038307x55dlf3rgs",
"name": "checklist_class",
"value": "checklist_class",
"checklist_answers": [
{
"feature_id": "cltd97cag01td14ysxw2n8xkz",
"feature_schema_id": "cltd977np038407x51hcvdad7",
"name": "first_checklist_answer",
"value": "first_checklist_answer",
"classifications": []
},
{
"feature_id": "cltd97cag01te14ys1jdf1fku",
"feature_schema_id": "cltd977np038607x58epu4nb5",
"name": "second_checklist_answer",
"value": "second_checklist_answer",
"classifications": []
}
]
}
]
},
"35": {
"objects": {
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": [
{
"feature_id": "cltd97cag01tc14yspm0lev2d",
"feature_schema_id": "cltd977np038307x55dlf3rgs",
"name": "checklist_class",
"value": "checklist_class",
"checklist_answers": [
{
"feature_id": "cltd97cag01td14ysxw2n8xkz",
"feature_schema_id": "cltd977np038407x51hcvdad7",
"name": "first_checklist_answer",
"value": "first_checklist_answer",
"classifications": []
},
{
"feature_id": "cltd97cag01te14ys1jdf1fku",
"feature_schema_id": "cltd977np038607x58epu4nb5",
"name": "second_checklist_answer",
"value": "second_checklist_answer",
"classifications": []
}
]
}
]
},
"9": {
"objects": {
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.00000000000001
},
{
"x": 100.00000000000001,
"y": 190.0
}
]
}
},
"classifications": [
{
"feature_id": "cltd97cag01tf14ysho6tfl7j",
"feature_schema_id": "cltd977np038907x5ah8l9ha7",
"name": "radio_class",
"value": "radio_class",
"radio_answer": {
"feature_id": "cltd97cag01tg14ys171a3qqr",
"feature_schema_id": "cltd977np038a07x515axagkl",
"name": "first_radio_answer",
"value": "first_radio_answer",
"classifications": []
}
}
]
},
"15": {
"objects": {
"cltd97cag01th14ys6fyyxyk9": {
"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0,
"left": 1371.0,
"height": 419.0,
"width": 505.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": [
{
"feature_id": "cltd97cag01tf14ysho6tfl7j",
"feature_schema_id": "cltd977np038907x5ah8l9ha7",
"name": "radio_class",
"value": "radio_class",
"radio_answer": {
"feature_id": "cltd97cag01tg14ys171a3qqr",
"feature_schema_id": "cltd977np038a07x515axagkl",
"name": "first_radio_answer",
"value": "first_radio_answer",
"classifications": []
}
}
]
},
"13": {
"objects": {
"cltd97cag01th14ys6fyyxyk9": {
"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0,
"left": 1371.0,
"height": 419.0,
"width": 505.0
}
},
"cltd97cag01ti14ys8wedf89d": {
"feature_id": "cltd97cag01ti14ys8wedf89d",
"feature_schema_id": "cltd977np037r07x512iteflz",
"name": "bbox_class",
"value": "bbox_class",
"annotation_kind": "VideoBoundingBox",
"classifications": [
{
"feature_id": "cltd97cag01tj14ysz455nenr",
"feature_schema_id": "cltd977np037s07x5csbodf5f",
"name": "checklist_class",
"value": "checklist_class",
"radio_answer": {
"feature_id": "cltd97cag01tl14ysnbe8mw75",
"feature_schema_id": "cltd977np037v07x54esmdmws",
"name": "second_checklist_answer",
"value": "second_checklist_answer",
"classifications": []
}
}
],
"bounding_box": {
"top": 146.0,
"left": 98.0,
"height": 382.0,
"width": 341.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": []
},
"14": {
"objects": {
"cltd97cag01th14ys6fyyxyk9": {
"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0000000000001,
"left": 1371.0,
"height": 418.9999999999999,
"width": 505.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": []
},
"16": {
"objects": {
"cltd97cag01th14ys6fyyxyk9": {
"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0,
"left": 1371.0,
"height": 419.0,
"width": 505.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": []
},
"17": {
"objects": {
"cltd97cag01th14ys6fyyxyk9": {
"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0,
"left": 1371.0,
"height": 419.0,
"width": 505.0
}
},
"cltd97cag01to14yslakirofl": {
"feature_id": "cltd97cag01to14yslakirofl",
"feature_schema_id": "cltd977no037l07x56wfu4536",
"name": "point_video",
"value": "point_video",
"annotation_kind": "VideoPoint",
"classifications": [],
"point": {
"x": 660.134,
"y": 407.926
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": []
},
"18": {
"objects": {
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"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0,
"left": 1371.0,
"height": 419.0,
"width": 505.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": []
},
"19": {
"objects": {
"cltd97cag01th14ys6fyyxyk9": {
"feature_id": "cltd97cag01th14ys6fyyxyk9",
"feature_schema_id": "cltd977no037j07x5d82dacbc",
"name": "bbox_video",
"value": "bbox_video",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 617.0,
"left": 1371.0,
"height": 419.0,
"width": 505.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": []
},
"10": {
"objects": {
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"feature_id": "cltd97cag01ti14ys8wedf89d",
"feature_schema_id": "cltd977np037r07x512iteflz",
"name": "bbox_class",
"value": "bbox_class",
"annotation_kind": "VideoBoundingBox",
"classifications": [],
"bounding_box": {
"top": 146.0,
"left": 98.0,
"height": 382.0,
"width": 341.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
}
]
}
},
"classifications": []
},
"11": {
"objects": {
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"feature_id": "cltd97cag01ti14ys8wedf89d",
"feature_schema_id": "cltd977np037r07x512iteflz",
"name": "bbox_class",
"value": "bbox_class",
"annotation_kind": "VideoBoundingBox",
"classifications": [
{
"feature_id": "cltd97cag01tj14ysz455nenr",
"feature_schema_id": "cltd977np037s07x5csbodf5f",
"name": "checklist_class",
"value": "checklist_class",
"radio_answer": {
"feature_id": "cltd97cag01tk14ysejipk2y6",
"feature_schema_id": "cltd977np037t07x5966ebxpe",
"name": "first_checklist_answer",
"value": "first_checklist_answer",
"classifications": []
}
}
],
"bounding_box": {
"top": 146.0,
"left": 98.0,
"height": 382.0,
"width": 341.0
}
},
"cltd97cag01tp14ysz3my848t": {
"feature_id": "cltd97cag01tp14ysz3my848t",
"feature_schema_id": "cltd977np037n07x5d1buckz9",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
"x": 680.0,
"y": 100.0
},
{
"x": 100.0,
"y": 190.0
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},
{
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]
}
},
"classifications": []
},
"40": {
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"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
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},
{
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}
},
"classifications": []
},
"41": {
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"value": "line_video_frame",
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"line": [
{
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"value": "line_video_frame",
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"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
{
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},
{
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}
]
}
},
"classifications": []
},
"45": {
"objects": {
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"name": "line_video_frame",
"value": "line_video_frame",
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"classifications": [],
"line": [
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},
"classifications": []
},
"1": {
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"name": "video_mask",
"value": "video_mask",
"annotation_kind": "VideoSegmentationMask",
"classifications": [],
"mask": {
"url": "https://api.labelbox.com/api/v1/projects/cltd977uu016y08xyggep8aiv/annotations/cltd97cah01u814ys0k41cttu/index/1/mask"
},
"composite_mask": {
"url": "https://api.labelbox.com/api/v1/tasks/clur7t5d501i707wfawrp050b/masks/cltd97a7h01tb14ysldafd9es/index/1",
"color_rgb": [
169,
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}
},
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"name": "video_mask",
"value": "video_mask",
"annotation_kind": "VideoSegmentationMask",
"classifications": [],
"mask": {
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},
"composite_mask": {
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"color_rgb": [
227,
135,
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}
}
},
"classifications": []
}
},
"segments": {
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29,
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],
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29,
35
]
],
"cltd97cag01tg14ys171a3qqr": [
[
9,
15
]
],
"cltd97cag01th14ys6fyyxyk9": [
[
13,
19
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],
"cltd97cag01ti14ys8wedf89d": [
[
10,
13
]
],
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[
22,
27
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],
"cltd97cag01tn14yspqge5yph": [
[
22,
27
]
],
"cltd97cag01to14yslakirofl": [
[
17,
17
]
],
"cltd97cag01tp14ysz3my848t": [
[
5,
20
],
[
24,
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]
]
},
"key_frame_feature_map": {
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29,
35
],
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24,
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20,
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],
"cltd97cag01tf14ysho6tfl7j": [
9,
15
],
"cltd97cag01th14ys6fyyxyk9": [
13,
19
],
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13,
10
],
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17
],
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22,
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22,
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24,
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24,
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24,
20
],
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26
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1
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"cltd97cah01u914ysy7t58lvy": [
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},
"classifications": [
{
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"name": "checklist_class_global",
"value": "checklist_class_global",
"checklist_answers": [
{
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"value": "first_checklist_answer",
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},
{
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"name": "second_checklist_answer",
"value": "second_checklist_answer",
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}
]
},
{
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"feature_schema_id": "cltd977nq038v07x57qz18lnj",
"name": "radio_class_global",
"value": "radio_class_global",
"radio_answer": {
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"feature_schema_id": "cltd977nq038w07x5bxw3exp9",
"name": "first_radio_answer",
"value": "first_radio_answer",
"classifications": []
}
},
{
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"feature_schema_id": "cltd977nq038n07x52t8s0j1f",
"name": "nested_checklist_question",
"value": "nested_checklist_question",
"checklist_answers": [
{
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"feature_schema_id": "cltd977nq038o07x528j39vc4",
"name": "first_checklist_answer",
"value": "first_checklist_answer",
"classifications": [
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"value": "sub_checklist_question",
"checklist_answers": [
{
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"name": "first_sub_checklist_answer",
"value": "first_sub_checklist_answer",
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}
]
}
]
}
]
},
{
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"name": "nested_radio_question",
"value": "nested_radio_question",
"radio_answer": {
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"value": "first_radio_answer",
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"value": "sub_radio_question",
"radio_answer": {
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"value": "first_sub_radio_answer",
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]
}
},
{
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"feature_schema_id": "cltd977nq039707x535ufeo39",
"name": "free_text",
"value": "free_text",
"text_answer": {
"content": "sample text"
}
}
]
}
}
],
"project_details": {
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"priority": 5,
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}
}
Sample model run export
{
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"id": "cldtd2nai107407y5979xbu97",
"global_key": "3548cfa1-1a42-40f9-a246-2aa7c696dcbe",
"row_data": "https://storage.googleapis.com/labelbox-datasets/video-sample-data/sample-video-2.mp4",
"details": {
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"dataset_name": "video_prediction_demo",
"created_at": "2023-02-06T22:04:54.000+00:00",
"updated_at": "2023-02-06T22:04:54.000+00:00",
"created_by": "labelbox.public.user@labelbox.com"
}
},
"media_attributes": {
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"width": 1920,
"mime_type": "video/mp4",
"frame_rate": 10,
"frame_count": 100
},
"attachments": [],
"metadata_fields": [],
"experiments": {
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"runs": {
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"name": "iteration 1",
"run_data_row_id": "999a247e-0b57-415e-af7e-d3a87cc6559b",
"labels": [
{
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"version": "1.0.0",
"id": "cldteelzh08us1331q4pzj2ke",
"annotations": {
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"name": "point_video",
"value": "point_video",
"annotation_kind": "VideoPoint",
"classifications": [],
"point": {
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}
}
},
"classifications": []
},
"5": {
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"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
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},
"9cd6cd8e-0511-42a9-bc2f-726cf5c8f983": {
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"annotation_kind": "VideoBoundingBox",
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}
},
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"12": {
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"value": "line_video_frame",
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"line": [
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},
{
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},
{
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]
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},
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"20": {
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]
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},
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"24": {
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"value": "line_video_frame",
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},
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"45": {
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"value": "line_video_frame",
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{
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{
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}
},
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},
"1": {
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],
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},
"key_frame_feature_map": {
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},
"classifications": [
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"value": "checklist_question",
"checklist_answers": [
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"value": "second_checklist_answer",
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},
{
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]
},
{
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"feature_schema_id": "cldtd2nmm107m07y5h45sg6av",
"name": "radio_question",
"value": "radio_question",
"radio_answer": {
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"name": "second_radio_answer",
"value": "second_radio_answer",
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}
},
{
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"name": "nested_checklist_question",
"value": "nested_checklist_question",
"checklist_answers": [
{
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]
},
{
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"name": "nested_radio_question",
"value": "nested_radio_question",
"radio_answer": {
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"name": "first_radio_answer",
"value": "first_radio_answer",
"classifications": [
{
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"name": "sub_radio_question",
"value": "sub_radio_question",
"radio_answer": {
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"name": "first_sub_radio_answer",
"value": "first_sub_radio_answer",
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}
}
]
}
}
]
}
}
],
"predictions": [
{
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"version": "1.0.0",
"id": "cldteelzh08us1331q4pzj2ke",
"annotations": {
"frames": {
"5": {
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"feature_schema_id": "cldtd2nmm107k07y577q807az",
"name": "line_video_frame",
"value": "line_video_frame",
"annotation_kind": "VideoPolyline",
"classifications": [],
"line": [
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