Question
We are providing you with a folder that has two subfolders,each having about 50 short clips of people jogging and walking respectively in varying environments
The task here is to load the videos,extract suitable features and train a Machine Learning model to classify each video as walking or jogging.
Heads-up: You can train CNN if you want,but beware of the time running out.
Link to Data:
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Instructions
Submit through a private bitbucket repository with read access granted to ‘yuyudhan’, ‘nmsignzy’, ‘harshitsignzy’ and ‘saravananzbucket’ usernames
The repository should have the final code,preferably as jupyter notebook with markdown explanations,otherwise upload a separate document with explanation.
Your submission should contain a detailed [login to view URL], to help us understand and run at our end.
Don’t include any library files, instead provide instructions on how we can install at our end.
Judgement:
Both Machine Learning and Computer Vision/Image Processing skills will
I believe I would be a great candidate due to my experience and background with over 2 years experience performing similar tasks I believe I can help with this task in a timely matter.
I Have Completed Your jogging Project Before the Time Interval . I Have 2yr of Experience to Complete a Work on UC-NEWS media and NEWS DOG media so believe me Give me a Chance To Proof Myself .
Thank you