Dataset Versions

v4

2023-11-16 3:58pm

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 93%
288Images
Valid Set 5%
16Images
Test Set 2%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -22% and +22%
Brightness: Between -29% and +29%
Exposure: Between -17% and +17%
Cutout: 7 boxes with 6% size each

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