Dataset Versions

v8

2023-05-19 10:15pm

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.
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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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