Dataset Versions

v3

2022-06-18 1:19pm

Generated on Jun 18, 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 81%
22Images
Valid Set 11%
3Images
Test Set 7%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 5% of pixels

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