Dataset Versions

v1

2024-11-03 8:38am

Generated on Nov 3, 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 72%
27417Images
Valid Set 13%
4808Images
Test Set 15%
5849Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 30 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 0.6px
Noise: Up to 2.59% of pixels
Cutout: 3 boxes with 10% size each

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