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https://github.com/sakshi2215/realtimeobjectdetection


https://github.com/sakshi2215/realtimeobjectdetection

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# Realtimeobjectdetection

Here, in this project we’ve considered around 60-80 objects to be detected . Some of those include ‘person’, ‘mug’, ‘train’, ‘bottle’, ‘sofa’, ‘dog’, ‘’cellphone’, ‘aero plane’, ‘bicycle’, ‘bus’, ‘motorbike’, etc. The output of this project displays the objects detected with a rectangular box around the object with a label indicating it’s name which the object has been detected on the top of it. It can dig out any number of objects existing during a single image with certainty.
# Realtimeobjectdetection
To Run type "python main.py" in terminal
# Output--
![image](https://github.com/sakshi2215/Realtimeobjectdetection/assets/116375190/0d076539-5008-4d0b-999b-feeafdc31320)
![image](https://github.com/sakshi2215/Realtimeobjectdetection/assets/116375190/c655d13f-fec1-4bc5-be20-fb43d69403db)
![image](https://github.com/sakshi2215/Realtimeobjectdetection/assets/116375190/2c909472-27ae-4892-b554-485d3358fb88)
![image](https://github.com/sakshi2215/Realtimeobjectdetection/assets/116375190/084d3cab-1af4-4d3e-857c-e2252f355287)
![image](https://github.com/sakshi2215/Realtimeobjectdetection/assets/116375190/6997a51a-290a-4167-ab9c-1bce7c274d87)
![image](https://github.com/sakshi2215/Realtimeobjectdetection/assets/116375190/63b252e4-4796-45ae-9fcf-1c771ce85e2e)