Dataset Versions

v4

2023-06-13 11:39am

Generated on Jun 13, 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 92%
645Images
Valid Set 8%
53Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Blur: Up to 2px
Noise: Up to 8% of pixels
Bounding Box: Shear: ±30° Horizontal, ±0° Vertical

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