https://github.com/nandahkrishna/iddsegmentation
Semantic Segmentation on the Indian Driving Dataset for the NVCPRIPG 2019 Challenge
https://github.com/nandahkrishna/iddsegmentation
fcn fully-convolutional-networks jupyter-notebook machine-learning python segmentation u-net unet unet-image-segmentation unet-segmentation
Last synced: 3 months ago
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Semantic Segmentation on the Indian Driving Dataset for the NVCPRIPG 2019 Challenge
- Host: GitHub
- URL: https://github.com/nandahkrishna/iddsegmentation
- Owner: nandahkrishna
- Created: 2019-12-26T13:14:56.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-12-28T05:51:53.000Z (over 5 years ago)
- Last Synced: 2025-01-30T12:16:30.229Z (5 months ago)
- Topics: fcn, fully-convolutional-networks, jupyter-notebook, machine-learning, python, segmentation, u-net, unet, unet-image-segmentation, unet-segmentation
- Language: Jupyter Notebook
- Size: 7.81 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Indian Driving Dataset - Semantic Segmentation
Semantic Segmentation on the Indian Driving Dataset for the NVCPRIPG 2019 Challenge. Joint work with [Praveen Kumar R](https://github.com/pbcpraveen) and [Ram Kaushik R](https://github.com/RamKaushikR).
## Methods
* FCN (Fully Convolutional Network)
* U-Net
## Dataset
The dataset used for the challenge was IDD-Lite, which can be found [here](http://idd.insaan.iiit.ac.in/dataset/download).