Dataset Versions

v11

2024-02-05 11:10am

Generated on Feb 5, 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 86%
219Images
Valid Set 14%
37Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-62% Horizontal Region, 30-79% Vertical Region
Dynamic Crop: Class: weapon
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±12° Vertical
Grayscale: Apply to 100% of images
Blur: Up to 2px
Noise: Up to 10% of pixels
Cutout: 6 boxes with 15% size each
Mosaic: Applied

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