Dataset Versions

v4

2024-06-02 12:05pm

Generated on Jun 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.
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Dataset Split

Train Set 87%
13281Images
Valid Set 8%
1291Images
Test Set 4%
632Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -17° and +17°
Grayscale: Apply to 20% of images
Blur: Up to 2.5px
Noise: Up to 0.89% of pixels
Cutout: 5 boxes with 12% size each

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