- Precomputed embeddings: These are automatically computed embeddings that Labelbox provides
- Custom embeddings: These are embeddings that you can specify and import to Labelbox
Field | Description |
---|---|
Name | Name of the embedding |
ID | ID of the embedding |
Dimensions | Refers to the size of the vector space in which words, phrases, or other entities are embedded. |
Custom | Indicates whether the embedding is a Precomputed embedding or a Custom embedding |
Custom embeddings
Create a custom embedding
Before you can upload custom embeddings to Labelbox, you’ll need to do the following:- View the limits page to learn the custom embedding limits per workspace and the maximum dimensions allowed per custom embedding.
- Create an API key.
- Go to Schema > Embeddings.
- Select + Create
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In the modal, specify a Name and the number of Dimensions for your custom embedding. Then, select Create embedding.
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After you create your custom embedding, you can view all of the embedding fields in JSON format by clicking the </> button.
- Use this Google colab notebook to upload your custom embeddings.
Delete a custom embedding
Follow these steps to delete a custom embedding from the app UI.- Go to Schema > Embeddings.
- Select the embedding you want to delete from the list.
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Click the gear icon in the top right corner, and select Delete embedding.
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Enter “delete” in the free text box to confirm.