Dataset Versions

v7

Good Version

Generated on May 19, 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.
Other Formats
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Dataset Split

Train Set 82%
9134Images
Valid Set 12%
1295Images
Test Set 6%
671Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 2
Rotation: Between -30° and +30°
Shear: ±19° Horizontal, ±19° Vertical
Exposure: Between -16% and +16%
Blur: Up to 1px
Noise: Up to 3% of pixels

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