Dataset Versions

v21

2024-10-08 9:59pm

Generated on Oct 8, 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 86%
1218Images
Valid Set 8%
120Images
Test Set 5%
76Images

Preprocessing

Grayscale: Applied
Modify Classes: 7 remapped, 2 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -33% and +33%
Blur: Up to 4.6px
Noise: Up to 4.22% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 25% Maximum Zoom
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.1% of pixels

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