Dataset Versions

v1

2022-07-20 1:03am

Generated on Jul 19, 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 88%
14517Images
Valid Set 8%
1380Images
Test Set 4%
688Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 15 remapped, 22 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 15% Maximum Zoom

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