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 4

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these recepayddogdu/Object_Detection_Classification_-_Ford_Otosan_Intern_P2 is ranked #485,516 (19th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,937/17,543.

recepayddogdu/Object_Detection_Classification_-_Ford_Otosan_Intern_P2 is also tagged with popular topics, for these it's ranked: python (#19,239/22324), deep-learning (#7,274/8512), pytorch (#5,117/6025), tensorflow (#2,045/2255), object-detection (#994/1176), keras (#719/794), convolutional-neural-networks (#491/549), semantic-segmentation (#415/521), image-classification (#334/399), artificial-neural-networks (#88/101)

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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updated: 2024-12-13 @ 04:12pm, id: 398927241 / R_kgDOF8cliQ