Dataset Versions

v6

2023-04-25 9:39am

Generated on Apr 25, 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.
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Dataset Split

Train Set 83%
102Images
Valid Set 7%
9Images
Test Set 10%
12Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -87° and +87°
Brightness: Between -32% and +32%
Cutout: 16 boxes with 4% size each
Mosaic: Applied
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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