Dataset Versions

v14

2024-10-13 2:04am

Generated on Oct 13, 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 90%
1960Images
Valid Set 6%
140Images
Test Set 3%
70Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1000x1000
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 4
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 50% of images
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 35% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°

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