project

poly2

Object Detection

poly2 Image Dataset

v4

2022-05-23 3:04pm

Generated on May 23, 2022

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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 82%
699Images
Valid Set 11%
94Images
Test Set 7%
58Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±10° Vertical
Grayscale: Apply to 0% of images
Hue: Between -9° and +9°
Saturation: Between -10% and +10%
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal
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