Dataset Versions

v6

2024-08-02 9:12am

Generated on Aug 2, 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.
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Dataset Split

Train Set 88%
2157Images
Valid Set 8%
203Images
Test Set 4%
101Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Grayscale: Apply to 6% of images
Hue: Between -5° and +5°
Saturation: Between -33% and +33%
Exposure: Between -14% and +14%
Blur: Up to 0.7px
Noise: Up to 1.84% of pixels

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