Image

📘
Supported image types and size
File formats: JPG, PNG, and BMP
Maximum file size: 256 MB, all import methods (upload, IAM DA, signed URLs)

When importing image data to Labelbox, your JSON file must include the following information for each image.

Parameter	Required	Description
`externalId`	Yes	User-generated file name or ID for the file. For the best experience, this ID should be unique.
`imageUrl`	Yes	`https` path to a cloud-hosted image. For IAM Delegated Access, this URL must be in virtual-hosted-style format. For older regions, your S3 bucket may be in `https://<bucket-name>.s3-<region>.amazonaws.com/<key>` format. If your object URLs are formatted this way, make sure they are in the virtual-hosted-style format before importing.
`attachments`	No	Attachments Asset overlays

[
    {
        "externalId": "cells.jpg",
        "imageUrl": "https://lb-test-data.s3.us-west-1.amazonaws.com/cells.jpg"
    },
    {
        "externalId": "b17.jpg",
        "imageUrl": "https://lb-test-data.s3.us-west-1.amazonaws.com/B17.jpg"
    }
]

[ 
    { 
        "externalId": "2017-Tesla-Model-S-P90D-102.jpg", 
        "imageUrl": "https://storage.googleapis.com/labelbox-example-datasets/tesla/2017-Tesla-Model-S-P90D-102.jpg"
    }, 
    { 
        "externalId": "2017-Tesla-Model-3-top-view.jpg", 
        "imageUrl": "https://storage.googleapis.com/labelbox-example-datasets/tesla/2017-Tesla-Model-3-top-view.jpg"
    }
]

from uuid import uuid4

dataset = client.create_dataset(name="Bulk import example")

assets = [{"row_data": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/basic.jpg", "external_id": str(uuid4())},
         {"row_data": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/basic.jpg", "external_id": str(uuid4())},
         {"row_data": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/basic.jpg", "external_id": str(uuid4())},
         {"row_data": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/basic.jpg", "external_id": str(uuid4())},
         {"row_data": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/basic.jpg", "external_id": str(uuid4())}]

asset_attachments = [{"type": "IMAGE_OVERLAY", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/rgb.jpg"},
                       {"type": "IMAGE_OVERLAY", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/cir.jpg"},
                       {"type": "IMAGE_OVERLAY", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/weeds.jpg"},
                       {"type": "TEXT", "value": "IOWA, Zone 2232, June 2022 [Text string]"},
                       {"type": "TEXT", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"},
                       {"type": "IMAGE", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/disease_attachment.jpeg"},
                       {"type": "VIDEO", "value":  "https://storage.googleapis.com/labelbox-sample-datasets/Docs/drone_video.mp4"},
                       {"type": "HTML", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/windy.html"}]

for item in assets:
  item["attachments"] = asset_attachments

task = dataset.create_data_rows(assets)
task.wait_till_done()

📘Supported image types and size

📘
Supported image types and size