https://github.com/ani717/localization-with-unet-semantic-segmentation

Car Localization with Semantic Segmentation, using UNet. Dice Score: 0.89, Pixel to Pixel Accuracy: 99.07%.
https://github.com/ani717/localization-with-unet-semantic-segmentation

computer-vision convnets convolutional-neural-networks deep-learning generative-adversarial-network image-segmentation python pytorch unet unet-image-segmentation

Last synced: 30 days ago
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Car Localization with Semantic Segmentation, using UNet. Dice Score: 0.89, Pixel to Pixel Accuracy: 99.07%.

• Host: GitHub
• URL: https://github.com/ani717/localization-with-unet-semantic-segmentation
• Owner: ANI717
• License: mit
• Created: 2021-09-24T16:37:02.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-27T09:26:16.000Z (over 3 years ago)
• Last Synced: 2024-11-12T22:33:09.613Z (3 months ago)
• Topics: computer-vision, convnets, convolutional-neural-networks, deep-learning, generative-adversarial-network, image-segmentation, python, pytorch, unet, unet-image-segmentation
• Language: Python
• Homepage:
• Size: 69.9 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Car Localization with Semantic Segmentation using UNet


[Training Dataset Source.](https://www.kaggle.com/dansbecker/cityscapes-image-pairs)


[UNet PyTorch Tutorial.](https://youtu.be/IHq1t7NxS8k)


## Random Picks from Validation Dataset

`Pixel to Pixel Accuracy`: `99.07%`


`Dice Score`: `0.89`


`Epochs`: `100`


### Images:








### Masks:








### Predictions: