Dataset Versions

v21

2024-06-25 2:34pm

Generated on Jun 25, 2024

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 96%
2352Images
Valid Set 4%
107Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -27% and +27%
Brightness: Between -19% and +19%
Blur: Up to 1.1px
Noise: Up to 1.95% of pixels
Cutout: 7 boxes with 9% size each

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