Dataset Versions

v1

2024-10-10 5:52pm

Generated on Oct 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 92%
1083Images
Valid Set 8%
90Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -34% and +34%
Brightness: Between -22% and +22%
Exposure: Between -14% and +14%
Blur: Up to 2px
Noise: Up to 1.88% of pixels

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