Dataset Versions

v21

2022-12-15 7:07pm

Generated on Dec 15, 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 85%
4053Images
Valid Set 15%
689Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 20 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±7° Vertical
Brightness: Between -30% and +30%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical

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