Dataset Versions

v5

2023-05-28 5:38pm

Generated on May 28, 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 90%
3092Images
Valid Set 9%
320Images
Test Set 0%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 24 remapped, 13 dropped

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±22° Horizontal, ±22° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -16% and +16%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 3% of pixels

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