Dataset Versions

v2

2023-11-19 4:05pm

Generated on Nov 19, 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.
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Dataset Split

Train Set 88%
4782Images
Valid Set 8%
455Images
Test Set 4%
228Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 0 remapped, 6 dropped

Augmentations

Outputs per training example: 3
Hue: Between -40° and +40°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Noise: Up to 5% of pixels
Cutout: 10 boxes with 6% size each
Mosaic: Applied

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