Dataset Versions

v2

2023-01-15 5:37pm

Generated on Jan 15, 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.
Other Formats
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Dataset Split

Train Set 88%
1332Images
Valid Set 8%
126Images
Test Set 4%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 73% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -42% and +42%
Brightness: Between -25% and +25%
Noise: Up to 12% of pixels
Cutout: 25 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 59% Maximum Zoom
Bounding Box: Noise: Up to 10% of pixels

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