Dataset Versions

v6

liav1

Generated on Apr 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.
Other Formats
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Dataset Split

Train Set 87%
2064Images
Valid Set 9%
211Images
Test Set 4%
89Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 5% of pixels

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