Dataset Versions

v22

2023-03-19 8:26pm

Generated on Mar 19, 2023

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.
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Dataset Split

Train Set 81%
3312Images
Valid Set 9%
372Images
Test Set 10%
409Images

Preprocessing

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Hue: Between -40° and +40°
Saturation: Between -28% and +28%
Brightness: Between -20% and +20%
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -24° and +24°
Bounding Box: Shear: ±19° Horizontal, ±18° Vertical

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