Dataset Versions

v6

2024-12-12 11:57pm

Generated on Dec 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.
Other Formats
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Dataset Split

Train Set 93%
2853Images
Valid Set 5%
142Images
Test Set 2%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -29% and +29%
Exposure: Between -17% and +17%
Blur: Up to 1px
Noise: Up to 1.01% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 15% Maximum Zoom

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