Dataset Versions

v1

2023-12-14 8:22pm

Generated on Dec 14, 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 88%
138Images
Valid Set 8%
13Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Grayscale: Apply to 59% of images
Exposure: Between -50% and +50%
Blur: Up to 2.5px
Noise: Up to 15% of pixels
Cutout: 10 boxes with 15% size each

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