Dataset Versions

v5

2022-02-14 2:07pm

Generated on Feb 14, 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 88%
2109Images
Valid Set 8%
200Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -60° and +60°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 1px

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