Dataset Versions

v11

2023-05-09 4:47am

Generated on May 9, 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.
Other Formats
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Dataset Split

Train Set 90%
3675Images
Valid Set 6%
233Images
Test Set 4%
154Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 2 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -98° and +98°
Brightness: Between -53% and +0%
Blur: Up to 3.75px
Noise: Up to 12% of pixels
Bounding Box: Blur: Up to 3px

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