Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-24 | 2607 |
| 2026-07-25 | 2607 |
| 2026-07-28 | 2608 |
| 2026-07-30 | 2608 |
| 2026-08-06 | 2608 |
Today
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Momentum
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growth rate 0.00%/day
# Awesome Crowd Counting[](https://awesome.re) If you have any problems, suggestions or improvements, please submit the issue or PR. ## Contents * [Misc](#misc) * [Datasets](#datasets) * [Papers](#papers) * [Leaderboard](#leaderboard) ## Misc ### News - [2022.09] The VSCrowd Dataset is released. - [2022.01] The FUDAN-UCC Dataset is released. - [2021.04] The RGBT-CC Benchmark is released. - [2020.04] The JHU-CROWD++ Dataset is released. - [2020.01] The NWPU-Crowd benchmark is released. ### Call for Papers - [Electronics] Special Issue on: Recent Advances in Pixel-Wise Image Understanding [[Link](https://www.mdpi.com/journal/electronics/special_issues/Pixel-Wise_Image_Understanding)]. Deadline: November 15, 2023. - [Transportation Research Part C] ~~Special Issue on: Applications of artificial intelligence, computer vision, physics and econometrics modelling methods in pedestrian traffic modelling and crowd safety~~ [[Link](https://www.sciencedirect.com/journal/transportation-research-part-c-emerging-technologies/about/call-for-papers#call-for-papers-applications-of-artificial-intelligence-computer-vision-physics-and-econometrics-modelling-methods-in-pedestrian-traffic-modelling-and-crowd-safety)]. Deadline: April 30th, 2023. - [IET Image Processing] ~~Special Issue on: Crowd Understanding and Analysis~~ [[Link](https://digital-library.theiet.org/content/journals/iet-ipr/info/spl-issues;jsessionid=rfnb4mhi25p6.x-iet-live-01)] [[PDF](https://digital-library.theiet.org/files/IET_IPR_CFP_CUA.pdf)] ### Challenge - [[NWPU-Crowd Counting](https://www.crowdbenchmark.com/nwpucrowd.html)] Crowd counting. Deadline: none. - [[VisDrone 2021](http://aiskyeye.com/challenge_2021/crowd-counting-2/)] ~~Crowd counting. ICCV Workshop. Deadline: **2021.07.15**.~~ - [[VisDrone 2020](http://aiskyeye.com/challenge/crowd-counting/)] ~~Crowd counting. ECCV Workshop. Deadline: **2020.07.15**.~~ ### Code - [[C^3 Framework](https://github.com/gjy3035/C-3-Framework)] An open-source PyTorch code for crowd counting, which is released.  - [[CCLabeler](https://github.com/Elin24/cclabeler)] A web tool for labeling pedestrians in an image, which is released.  - [[YOLO-CROWD](https://github.com/zaki1003/YOLO-CROWD)]  a lightweight crowd counting and face detection model that is based on [[YOLO-FaceV2](https://github.com/Krasjet-Yu/YOLO-FaceV2)]  ### Technical blog - [Chinese Blog] 人群计数论文解读 [[Link](https://zhuanlan.zhihu.com/c_1111215695622352896)] - [2019.05] [Chinese Blog] C^3 Framework系列之一：一个基于PyTorch的开源人群计数框架 [[Link](https://zhuanlan.zhihu.com/p/65650998)] - [2019.04] Crowd counting from scratch [[Link](https://github.com/CommissarMa/Crowd_counting_from_scratch)] - [2017.11] Counting Crowds and Lines with AI [[Link1](https://blog.dimroc.com/2017/11/19/counting-crowds-and-lines/)] [[Link2](https://count.dimroc.com/)] [[Code](https://github.com/dimroc/count)] ### GT generation - Density Map Generation from Key Points [[Matlab Code](https://github.com/aachenhang/crowdcount-mcnn/tree/master/data_preparation)] [[Python Code](https://github.com/leeyeehoo/CSRNet-pytorch/blob/master/make_dataset.ipynb)] [[Fast Python Code](https://github.com/vlad3996/computing-density-maps)] [[Pytorch CUDA Code](https://github.com/gjy3035/NWPU-Crowd-Sample-Code/blob/master/misc/dot_ops.py)] ### Related Tasks Crowd Analysis, [Crowd Localization](https://github.com/taohan10200/Awesome-Crowd-Localization), [Video Surveillance](https://github.com/CommissarMa/
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Fabian Henning · Germany
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Dingkang Liang · Huazhong University of Science & Technology · China
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Hungryof
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Min-hwan Oh
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Wang Yi · The Hong Kong Polytechnic University · Hong Kong
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Han-Ju Chen (Future-Outlier)
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6ecbb0f8deb1f808, topic:computer-vision, readme:computer vision