Dataset Versions

v1

2024-03-07 10:21pm

Generated on Mar 7, 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%
3339Images
Valid Set 8%
318Images
Test Set 4%
159Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -22° and +22°
Shear: ±10° Horizontal, ±13° Vertical
Hue: Between -24° and +24°
Brightness: Between -49% and +49%
Exposure: Between -13% and +13%
Noise: Up to 2.24% of pixels

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