Dataset Versions

v2

2023-04-01 1:41pm

Generated on Apr 1, 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%
1941Images
Valid Set 8%
186Images
Test Set 4%
97Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x600
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -19° and +19°
Grayscale: Apply to 67% of images
Blur: Up to 5.75px
Noise: Up to 20% of pixels

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