Dataset Versions

v4

2023-11-15 10:40pm

Generated on Nov 16, 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%
312Images
Valid Set 8%
28Images
Test Set 4%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -29° and +29°
Exposure: Between -29% and +29%
Blur: Up to 5.25px
Noise: Up to 21% of pixels
Cutout: 14 boxes with 15% size each
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 30% Maximum Zoom
Bounding Box: Brightness: Between -30% and +30%

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