Dataset Versions

v2

2023-08-25 9:36am

Generated on Aug 25, 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 87%
2958Images
Valid Set 8%
283Images
Test Set 4%
140Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 10 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 3% of pixels

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