Dataset Versions

v4

2023-04-20 10-03am_All_Classes_Revised

Generated on Apr 20, 2023

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 87%
2154Images
Valid Set 8%
201Images
Test Set 5%
131Images

Preprocessing

Modify Classes: 3 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -45° and +45°
Grayscale: Apply to 14% of images
Brightness: Between -27% and +27%
Blur: Up to 0.25px
Bounding Box: Noise: Up to 1% of pixels

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