Dataset Versions

v1

2024-11-02 12:03pm

Generated on Nov 2, 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.
Other Formats
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Dataset Split

Train Set 86%
1800Images
Valid Set 9%
180Images
Test Set 6%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 265x265
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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