Dataset Versions

v40

v12

Generated on Oct 13, 2022

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 87%
2926Images
Valid Set 13%
434Images
Test Set 0%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%