https://github.com/woxy-sensei/crowd-counting-shangai
This repository contains a crowd counting model using the CSRNet architecture to estimate the number of people in crowded scenes. The model is trained on the Shanghaitech dataset and aims to provide accurate crowd density maps and count predictions. Data augmentation techniques are employed to enhance the model's performance.
https://github.com/woxy-sensei/crowd-counting-shangai
ai counting crowd deep-learning people-counting shangai tensorflow
Last synced: 2 months ago
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This repository contains a crowd counting model using the CSRNet architecture to estimate the number of people in crowded scenes. The model is trained on the Shanghaitech dataset and aims to provide accurate crowd density maps and count predictions. Data augmentation techniques are employed to enhance the model's performance.
- Host: GitHub
- URL: https://github.com/woxy-sensei/crowd-counting-shangai
- Owner: WoXy-Sensei
- Created: 2024-09-12T10:15:13.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-09-12T10:16:05.000Z (9 months ago)
- Last Synced: 2025-03-20T06:12:13.261Z (2 months ago)
- Topics: ai, counting, crowd, deep-learning, people-counting, shangai, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 3.91 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0