Dataset Versions

v1

25OctShamsa

Generated on Oct 25, 2021

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 87%
1023Images
Valid Set 8%
98Images
Test Set 4%
49Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px

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