Dataset Versions

v5

2022-06-18 9:38pm birmingham

Generated on Jun 19, 2022

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 76%
264Images
Valid Set 16%
56Images
Test Set 8%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Tile: 2 rows x 2 columns
Modify Classes: 9 remapped, 4 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Brightness: Between -50% and +50%
Blur: Up to 0.5px
Noise: Up to 5% of pixels
Cutout: 25 boxes with 4% size each

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