Dataset Versions

v2

2023-08-23 11:55am

Generated on Aug 23, 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 88%
5328Images
Valid Set 8%
501Images
Test Set 4%
252Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -26° and +26°
Saturation: Between -32% and +32%
Exposure: Between -20% and +20%
Blur: Up to 1.25px
Noise: Up to 2% of pixels

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