Dataset Versions

v5

2024-05-10 1:42pm

Generated on May 10, 2024

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 88%
609Images
Valid Set 8%
54Images
Test Set 4%
26Images

Preprocessing

Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -17% and +17%
Blur: Up to 1.4px
Noise: Up to 1.17% of pixels

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