DhakaAI

The capital city of Dhaka has only 7% traffic roads (compared to 25% urban standard) in presence of approximately 8 million computers a day with in 306 sq km area. The senario of Dhaka traffic is unique which poses complex new challanges in terms of automated traffic detection. To solve the problem using advances in AI-based technology and ICT solutions, we are calling for splutions to automatic Dhaka traffic detection problems on optical images. This new AI-Based Dhaka Traffic Detection Challenge aims at accessing the ability of state-of-the-art methods to detect and recognize traffic vehicles. This solution is encountered in mordern cities where multile cultures live and communicate together, where users see various scripts and languages in a way that prevents using much a priori knowledge. Alos, at the same time, the academics and researches from region who are experts in AI or interested in exploring possibilities could be brought to a networking community throug this campaign. Working together on a common problem statement can create the right synergies needed to build AI-based community in South-East Asia.达卡（Dhaka）作为孟加拉国首都，在306平方公里的辖区内，交通道路占比仅为城市通行标准的7%（城市通用标准为25%），且每日通行车辆约800万台次。达卡的交通场景极具特殊性，为自动化交通检测带来了全新的复杂挑战。为借助人工智能（AI）技术与信息通信技术（ICT）的进步解决该问题，我们面向光学图像场景下的达卡自动化交通检测任务征集解决方案。本次全新的AI驱动达卡交通检测挑战赛，旨在评估当前最先进算法在交通车辆检测与识别任务中的性能表现。该解决方案适用于多文化混居、民众使用多种文字与语言的现代城市，此类场景下难以预先获取充足的先验知识。与此同时，本次赛事还可搭建交流社区，吸引来自本地区的人工智能领域专家以及有意探索相关应用可能的科研人员参与协作。围绕统一的任务目标开展协同攻关，可为东南亚地区构建AI社区打造所需的协同合力。