Dataset Versions

v11

2022-07-31 11:55am

Generated on Jul 31, 2022

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%
10860Images
Valid Set 8%
1020Images
Test Set 5%
587Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1210x760
Modify Classes: 0 remapped, 15 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels
Cutout: 6 boxes with 3% size each

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