Dataset Versions

v26

2024-09-24 11:35am

Generated on Sep 24, 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 91%
6438Images
Valid Set 5%
338Images
Test Set 4%
304Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -19° and +19°
Saturation: Between -24% and +24%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 0.22% of pixels