Dataset Versions

v2

2024-08-08 9:41am

Generated on Aug 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.
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Dataset Split

Train Set 87%
54Images
Valid Set 8%
5Images
Test Set 5%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Grayscale: Apply to 21% of images
Brightness: Between -15% and +15%
Blur: Up to 1.6px
Noise: Up to 0.93% of pixels

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