Dataset Versions

v1

2022-07-19 11:50am

Generated on Jul 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 87%
183Images
Valid Set 9%
18Images
Test Set 5%
10Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -18° and +18°
Bounding Box: Blur: Up to 10px

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