Dataset Versions

v2

2023-08-18 2:07am

Generated on Aug 17, 2023

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 83%
2574Images
Valid Set 12%
362Images
Test Set 6%
179Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -27% and +27%
Blur: Up to 1.25px
Noise: Up to 12% of pixels

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