Dataset Versions

v6

Final version

Generated on Sep 20, 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 97%
1608Images
Valid Set 1%
22Images
Test Set 1%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 0% of images
Hue: Between -20° and +20°
Saturation: Between -43% and +43%
Brightness: Between -24% and +24%
Blur: Up to 0.9px
Noise: Up to 0.06% of pixels

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