Dataset Versions

v28

2024-12-04 9:25am

Generated on Dec 4, 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 92%
6342Images
Valid Set 8%
528Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
Auto-Adjust Contrast: Using Histogram Equalization
Filter by Tag: 0 required, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 5% of images
Blur: Up to 1.6px
Noise: Up to 0.42% of pixels

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