IbrahimSobh/Object-Detection
In this tutorial, you will perform inference across 10 well-known pre-trained object detectors and fine-tune on a custom dataset. Design and train your own object detector.
This project helps computer vision practitioners quickly experiment with identifying specific objects within images or videos. You provide your images/videos, and it outputs the same media with bounding boxes and labels around the detected objects. It's designed for machine learning engineers, data scientists, or researchers working on visual recognition tasks.
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Use this if you need to apply existing object detection models to your data, fine-tune them on a custom dataset, or develop a new object detection solution from scratch.
Not ideal if you are looking for a plug-and-play application for end-users without any programming or machine learning background.
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Jupyter Notebook
License
MIT
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Last pushed
Mar 19, 2022
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