Dataset Versions

v11

2023-08-01 1:39am

Generated on Aug 1, 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%
2100Images
Valid Set 9%
202Images
Test Set 3%
72Images

Preprocessing

Modify Classes: 6 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Hue: Between -10° and +10°
Saturation: Between -36% and +36%
Exposure: Between -15% and +15%
Blur: Up to 5px
Mosaic: Applied
Bounding Box: Shear: ±6° Horizontal, ±6° Vertical

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