Dataset Versions

v1

2023-03-23 10:23pm

Generated on Mar 23, 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 92%
615Images
Valid Set 6%
37Images
Test Set 3%
18Images

Preprocessing

Resize: Stretch to 1080x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Grayscale: Apply to 17% of images
Hue: Between -29° and +29°
Saturation: Between -18% and +18%
Brightness: Between -20% and +20%
Exposure: Between -18% and +18%
Mosaic: Applied
Bounding Box: Shear: ±12° Horizontal, ±12° Vertical

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