Dataset Versions

v3

2024-06-30 12:08am

Generated on Jun 30, 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.
Other Formats
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Dataset Split

Train Set 91%
14589Images
Valid Set 5%
743Images
Test Set 4%
676Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.3px
Noise: Up to 0.58% of pixels

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