This project contains archived endpoints!

We recently moved team projects into workspaces and had to generate new endpoints. To prevent notebook and production errors, we preserved the original endpoints here. Update your notebooks and inference endpoints to reference the active project, then delete this archive.

View active project in the new workspace →

Dataset Versions

v20

crop-filter-mosaic

Generated on Aug 1, 2020

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 70%
473Images
Valid Set 20%
136Images
Test Set 10%
67Images

Preprocessing

Auto-Orient: Applied
Static Crop: 66-98% Horizontal Region, 55-91% Vertical Region
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Mosaic: Applied