Dataset Versions

v3

2023-10-11 1:46pm

Generated on Oct 11, 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.
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Dataset Split

Train Set 87%
444Images
Valid Set 9%
44Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Brightness: Between -29% and +29%
Blur: Up to 9px
Noise: Up to 10% of pixels
Cutout: 12 boxes with 6% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°

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