Dataset Versions

v3

BeforeGAN

Generated on May 30, 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%
1683Images
Valid Set 8%
161Images
Test Set 4%
81Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±0° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -3% and +3%
Exposure: Between -2% and +2%

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