Dataset Versions

v7

2022-08-22 4-44pm Remove sample from video -now is the best of example 230822

Generated on Aug 22, 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 89%
1488Images
Valid Set 11%
190Images
Test Set 0%
3Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Noise: Up to 5% of pixels
Bounding Box: Blur: Up to 10px

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