Dataset Versions

v4

2023-08-09 9:07am

Generated on Aug 9, 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 82%
7524Images
Valid Set 9%
848Images
Test Set 9%
849Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±22° Horizontal, ±15° Vertical
Brightness: Between -36% and +36%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%

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