Ditutup

classify running or walking

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:

[login to view URL]

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 be judged

Accuracy of classification model.

Novelty of thinking involved in feature engineering.

Data handling and processing.

Command over language and libraries of choice

Explanation of the code.

Constraints:

You are free to use your favourite libraries/frameworks.

Kemahiran: Article Writing, Pemasukan Data, Mobile App Development

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Tentang Majikan:
( 0 ulasan ) India

ID Projek: #17232002

3 pekerja bebas membida secara purata ₹2037/jam untuk pekerjaan ini

suyashdhoot

Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Lagi

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hamzaisb

I am a professional ML/NLP Engineer in an IT company with 2+ years of Python, Machine learning and Natural Language processing, have experience working with many challenging problems and also with different tools and Lagi

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Krishna804

I am a professional writer (academic, copy, line and substantive editing) and proofreader offering a good amount of experience in editing a wide range of written stuff.

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