recepayddogdu / Object_Detection_Classification_-_Ford_Otosan_Intern_P2

Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.

Date Created 2021-08-23 (3 years ago)

Commits 60 (last one 2 years ago)

Stargazers 47 (0 this week)

Watchers 2 (0 this week)

Forks 3

License unknown

Ranking

RepositoryStats indexes 584,777 repositories, of these recepayddogdu/Object_Detection_Classification_-_Ford_Otosan_Intern_P2 is ranked #478,634 (18th percentile) for total stargazers, and #478,954 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,687/17,124.

recepayddogdu/Object_Detection_Classification_-_Ford_Otosan_Intern_P2 is also tagged with popular topics, for these it's ranked: python (#19,003/22023), deep-learning (#7,182/8398), pytorch (#5,058/5951), tensorflow (#2,033/2242), object-detection (#987/1158), keras (#718/791), convolutional-neural-networks (#485/541), semantic-segmentation (#411/513), image-classification (#332/393)

Other Information

recepayddogdu/Object_Detection_Classification_-_Ford_Otosan_Intern_P2 has Github issues enabled, there are 3 open issues and 1 closed issue.

All Topics

unet keras python segnet yolov4 darknet pytorch tensorflow deep-learning object-detection image-classification object-classification semantic-segmentation artificial-neural-networks convolutional-neural-networks

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1 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-18 @ 04:03am, id: 398927241 / R_kgDOF8cliQ