Dataset Versions

v9

2023-11-01 3:29pm

Generated on Nov 1, 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 88%
630Images
Valid Set 8%
59Images
Test Set 4%
31Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Hue: Between -119° and +119°
Brightness: Between -29% and +29%
Noise: Up to 25% of pixels

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