Dataset Versions

v1

2023-11-09 11:53am

Generated on Nov 9, 2023

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.
Other Formats
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Dataset Split

Train Set 96%
420Images
Valid Set 3%
12Images
Test Set 1%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 10
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Rotation: Between -24° and +24°
Shear: ±22° Horizontal, ±24° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 9% of pixels
Cutout: 3 boxes with 20% size each

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