Dataset Versions

v1

2023-08-03 11:09pm

Generated on Aug 3, 2023

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%
1104Images
Valid Set 8%
105Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -29° and +29°
Shear: ±15° Horizontal, ±31° Vertical
Saturation: Between -25% and +25%
Exposure: Between -14% and +14%
Noise: Up to 5% of pixels
Mosaic: Applied

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