Dataset Versions

v10

2023-10-03 2:51pm

Generated on Oct 3, 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 78%
308Images
Valid Set 11%
44Images
Test Set 11%
44Images

Preprocessing

Isolate Objects: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Saturation: Between -50% and +50%
Exposure: Between -20% and +20%

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