Dataset Versions

v1

2024-12-23 12:33am

Generated on Dec 22, 2024

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 96%
3234Images
Valid Set 2%
79Images
Test Set 1%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -25% and +0%
Blur: Up to 4.5px
Noise: Up to 1.49% of pixels

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