Dataset Versions

v1

2022-12-10 9:03am

Generated on Dec 10, 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 87%
4080Images
Valid Set 8%
388Images
Test Set 4%
195Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 9 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±33° Horizontal, ±29° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -41% and +41%
Exposure: Between -49% and +49%
Blur: Up to 2.5px
Noise: Up to 25% of pixels
Cutout: 23 boxes with 10% size each
Mosaic: Applied
Bounding Box: Blur: Up to 5.75px

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