srcbb Dataset

v1

2023-02-18 10:30pm

Generated on Feb 18, 2023

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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 94%
1083Images
Valid Set 4%
51Images
Test Set 2%
24Images

Preprocessing

Resize: Stretch to 1480x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -43° and +43°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -11° and +11°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Exposure: Between -25% and +25%

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