Dataset Versions

v10

2024-06-04 11:49am

Generated on Jun 4, 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 92%
1030Images
Valid Set 5%
57Images
Test Set 3%
30Images

Preprocessing

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

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Blur: Up to 0.4px
Noise: Up to 0.38% of pixels

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