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Title | Computer Vision with Neural Networks - test online. Valentyn |
Description | This project is aimed to show experimental results on developing and testing systems for an autonomous vehicle. These systems are Image Classification, Traffic Signs Classification, Road Lane Detection and Tracking, Traffic Lights |
Keywords | N/A |
WebSite | valentynsichkar.name |
Host IP | 194.58.108.172 |
Location | Russian Federation |
Site | Rank |
US$955
Last updated: 2023-05-17 17:35:48
valentynsichkar.name has Semrush global rank of 0. valentynsichkar.name has an estimated worth of US$ 955, based on its estimated Ads revenue. valentynsichkar.name receives approximately 110 unique visitors each day. Its web server is located in Russian Federation, with IP address 194.58.108.172. According to SiteAdvisor, valentynsichkar.name is safe to visit. |
Purchase/Sale Value | US$955 |
Daily Ads Revenue | US$0 |
Monthly Ads Revenue | US$26 |
Yearly Ads Revenue | US$317 |
Daily Unique Visitors | 7 |
Note: All traffic and earnings values are estimates. |
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valentynsichkar.name. | NS | 3600 | NS Record: ns6.hosting.reg.ru. |
valentynsichkar.name. | MX | 3600 | MX Record: 20 mail.valentynsichkar.name. |
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Valentyn Sichkar PhD student few words about me An engineer in Control Systems and Robotics, PhD student, working on Computer Vision , Deep Learning , Image Processing , Autonomous Vehicles . Python, C#, HTML, YOLO, CNNs. Write an email Valentyn Sichkar PhD student Home About MNIST CIFAR-10 Traffic Signs Contact home about MNIST CIFAR-10 Traffic Signs Contact home about MNIST CIFAR-10 Traffic Signs Contact MNIST Digits Classification with ConvNet MNIST CIFAR-10 Image Classification with Convolutional Neural Networks CIFAR-10 Traffic Signs Classification with Convolutional Neural Networks Traffic Sign About Project The Project is aimed at testing online and showing experimental results for classification problems. These problems are Digits Classification (MNIST) , Image Classification (CIFAR-10) , Traffic Signs Classification (GTSRB) . The Project based on Python + ConvNet (CNN) + Flask + Jinja + HTML . MNIST CIFAR-10 Traffic Signs Types of Neural Networks MNIST : ConvNet CIFAR-10 : |
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