Dataset Versions

v2

2024-02-15 1:34am

Generated on Feb 15, 2024

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 90%
990Images
Valid Set 6%
66Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -4° and +4°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 1.69% of pixels