Dataset Versions

v4

2024-10-22 6:18am

Generated on Oct 22, 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%
990Images
Valid Set 8%
93Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x400
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±14° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Noise: Up to 1.49% of pixels

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