Dataset Versions

v12

2024-12-02 11:36am

Generated on Dec 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 99%
4578Images
Valid Set 1%
31Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 12% of images
Hue: Between -12° and +12°
Saturation: Between -12% and +12%
Brightness: Between -12% and +12%
Exposure: Between -6% and +6%
Blur: Up to 0.6px
Noise: Up to 0.69% of pixels

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