Dataset Versions

v1

2023-04-12 12:43am

Generated on Apr 11, 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%
606Images
Valid Set 8%
57Images
Test Set 4%
29Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 23% of images
Hue: Between -20° and +20°
Saturation: Between -18% and +18%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%

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