Dataset Versions

v3

2022-06-06 11:45pm-V3

Generated on Jun 6, 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.
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Dataset Split

Train Set 89%
8400Images
Valid Set 6%
529Images
Test Set 5%
496Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Blur: Up to 1.25px
Noise: Up to 4% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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