Dataset Versions

v1

2023-09-07 9:17pm

Generated on Sep 8, 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 98%
582Images
Valid Set 1%
8Images
Test Set 0%
2Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2px
Noise: Up to 3% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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