Dataset Versions

v6

2024-09-24 8:05am

Generated on Sep 24, 2024

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%
5330Images
Valid Set 12%
729Images
Test Set %
0Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Brightness: Between -24% and +24%

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