Dataset Versions

v15

2024-11-03 6:32pm

Generated on Nov 3, 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 88%
2793Images
Valid Set 8%
264Images
Test Set 4%
133Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 10% of images
Hue: Between -90° and +90°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Noise: Up to 0.5% of pixels