DhakaAIdoi:10.7910/DVN/POREXFHarvard Dataverse2020-09-191Shihavuddin, ASM; Mohammad Rifat Ahmmad Rashid, 2020, "DhakaAI", https://doi.org/10.7910/DVN/POREXF, Harvard Dataverse, V1DhakaAIAn international AI-based Dhaka Traffic Detection Challenge funded by Elsevier would be co-organized during STI 2020doi:10.7910/DVN/POREXFShihavuddin, ASMMohammad Rifat Ahmmad Rashid2020-09-19Harvard DataverseShihavuddin, ASMShihavuddin, ASM2020-09-19Computer and Information ScienceEngineeringAI, Object detection, Image processing, Computer Vision, Dhaka Traffic detectionThe 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.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>test1.rarapplication/x-rar-compressedtrain.rarapplication/x-rar-compressed