Dataset Versions

v8

2024-04-29 8:35am

Generated on Apr 29, 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 88%
3813Images
Valid Set 8%
336Images
Test Set 4%
169Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 22% of images
Saturation: Between -14% and +14%
Brightness: Between -23% and +23%
Exposure: Between -8% and +8%
Noise: Up to 1.49% of pixels

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