Dataset Versions

v1

2024-05-23 1:39am

Generated on May 23, 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 77%
1131Images
Valid Set 7%
110Images
Test Set 3%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 0.26% of pixels
Bounding Box: Noise: Up to 0.08% of pixels

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