Dataset Versions

v5

2023-10-24 11:19pm

Generated on Oct 24, 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 94%
6939Images
Valid Set 4%
281Images
Test Set 2%
139Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 3 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -11% and +11%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 3% of pixels

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