Dataset Versions

v1

2024-11-08 2:21am

Generated on Nov 8, 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 90%
1344Images
Valid Set 7%
105Images
Test Set 3%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 1 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Exposure: Between -15% and +15%
Noise: Up to 1.84% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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