https://github.com/saraasgari99/videoclassificationusingdeeplearning
ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques
https://github.com/saraasgari99/videoclassificationusingdeeplearning
computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow
Last synced: 2 months ago
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ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques
- Host: GitHub
- URL: https://github.com/saraasgari99/videoclassificationusingdeeplearning
- Owner: saraasgari99
- Created: 2021-04-30T19:56:39.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2024-11-06T17:44:53.000Z (over 1 year ago)
- Last Synced: 2025-03-17T11:12:52.619Z (over 1 year ago)
- Topics: computer-vision, data-processing, keras-tensorflow, machine-learning, numpy, sklearn, tensorflow
- Language: Python
- Homepage:
- Size: 25.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# VideoClassificationUsingDeepLearning
In this project, Alex Lehner and I supervised by Professors Soni and Collins worked on automating morphological analysis of planarians by classifying their videos using a convolutional neural network and applying various machine learning techniques including transfer learning, regularization, and various data processing techniques to overcome class imbalance.
Note: only parts of the project/code are included here