Dataset Versions

v10

2022-07-11 2:44pm

Generated on Jul 11, 2022

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 77%
66Images
Valid Set 12%
10Images
Test Set 12%
10Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Applied
Rotation: Between -5° and +5°
Brightness: Between -29% and +29%
Exposure: Between -12% and +12%
Noise: Up to 0% of pixels
Bounding Box: Exposure: Between -5% and +5%

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