Dataset Versions

v1

2024-06-17 3:20pm

Generated on Jun 17, 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 90%
5232Images
Valid Set 8%
465Images
Test Set 2%
116Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 3.39% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -16% and +16%

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