Dataset Versions

v8

2024-02-13 10:41am

Generated on Feb 13, 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%
1068Images
Valid Set 8%
99Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±13° Vertical
Blur: Up to 1.2px
Noise: Up to 0.1% of pixels
Mosaic: Applied

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