Dataset Versions

v1

2023-02-03 11:06pm

Generated on Feb 3, 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.
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Dataset Split

Train Set 87%
213Images
Valid Set 8%
20Images
Test Set 5%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Grayscale: Apply to 53% of images
Hue: Between -101° and +101°
Noise: Up to 25% of pixels
Cutout: 3 boxes with 50% size each
Bounding Box: Crop: 0% Minimum Zoom, 84% Maximum Zoom

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