Dataset Versions

v4

2023-01-26 12:22pm

Generated on Jan 26, 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 82%
1680Images
Valid Set 12%
239Images
Test Set 6%
121Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 854x480

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 5% of images
Blur: Up to 0.75px
Noise: Up to 8% of pixels
Mosaic: Applied

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