Dataset Versions

v1

2023-02-26 11:11pm

Generated on Feb 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 93%
594Images
Valid Set 5%
31Images
Test Set 2%
13Images

Preprocessing

Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -9° and +9°
Shear: ±7° Horizontal, ±9° Vertical
Grayscale: Apply to 17% of images
Hue: Between -34° and +34°
Saturation: Between -28% and +28%
Brightness: Between -25% and +25%
Exposure: Between -16% and +16%
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -4° and +4°

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