Dataset Versions

v23

2022-01-19 10:13pm

Generated on Jan 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.
Other Formats
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Dataset Split

Train Set 70%
1524Images
Valid Set 10%
212Images
Test Set 20%
430Images

Preprocessing

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

Augmentations

Outputs per training example: 1
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±23° Horizontal, ±21° Vertical
Blur: Up to 0.75px
Noise: Up to 1% of pixels

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