Dataset Versions

v3

2024-04-26 10:33pm

Generated on Apr 26, 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.
Other Formats
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Dataset Split

Train Set 94%
3941Images
Valid Set 4%
169Images
Test Set 2%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 7
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±13° Vertical
Blur: Up to 2.5px
Noise: Up to 1.92% of pixels
Mosaic: Applied

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