Dataset Versions

v2

2024-06-15 12:19pm

Generated on Jun 15, 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 89%
1572Images
Valid Set 5%
97Images
Test Set 6%
99Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 20% of images
Saturation: Between -20% and +20%
Brightness: Between -23% and +23%
Blur: Up to 1.6px
Noise: Up to 1.49% of pixels

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