Dataset Versions

v9

2023-12-10 10:29am

Generated on Dec 10, 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%
1695Images
Valid Set 10%
191Images
Test Set 2%
30Images

Preprocessing

Static Crop: 13-81% Horizontal Region, 0-75% Vertical Region
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Noise: Up to 3% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Exposure: Between -65% and +65%

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