Dataset Versions

v7

2023-10-17 2:22pm

Generated on Oct 17, 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%
999Images
Valid Set 8%
96Images
Test Set 4%
47Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 3 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Brightness: Between -25% and +25%
Blur: Up to 6.75px
Noise: Up to 5% of pixels

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