Dataset Versions

v7

2022-08-19 1:33pm

Generated on Aug 19, 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 91%
1405Images
Valid Set 5%
70Images
Test Set 4%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Bounding Box: Flip: Horizontal, Vertical

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