Dataset Versions

v1

V1

Generated on Aug 27, 2024

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%
3399Images
Valid Set 7%
257Images
Test Set 4%
135Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -43° and +43°
Shear: ±34° Horizontal, ±29° Vertical
Brightness: Between -45% and +45%
Noise: Up to 10% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°

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