Dataset Versions

v4

dsinter-SR-greda

Generated on Jan 31, 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 90%
9654Images
Valid Set 6%
635Images
Test Set 4%
433Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -3% and +3%
Brightness: Between -23% and +23%
Exposure: Between -18% and +18%
Blur: Up to 1.75px

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