Dataset Versions

v4

2024-02-03 9:08pm

Generated on Feb 3, 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 53%
144Images
Valid Set 29%
80Images
Test Set 18%
50Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Blur: Up to 1.5px
Noise: Up to 4% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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