object-detection-model

https://github.com/chetasshree/object-detection-model

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Scientific vocabulary similarity
Low similarity (5.6%) to scientific vocabulary

Last synced: 7 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: ChetasShree
Language: Python
Default Branch: main
Size: 33.2 KB

Statistics

Stars: 0
Watchers: 1
Forks: 1
Open Issues: 0
Releases: 0

Created over 2 years ago · Last pushed over 2 years ago

Metadata Files

Readme Citation

README.md

🤖 ai-object-detection

👋 About this project

This is a web AI object detection. You can use it in your web browser. This web application uses the camera of your device to detect objects.

⚙️ Features

✅ Toggle switch to turn AI on or off
✅ Range slider to control frame rate

🖼️ Images

💪 Try it

If you are not convinced yet just try it out here: https://bejewelled-dolphin-b98342.netlify.app/

🌐 Multiple browser support

Probably this will work with the most browsers, but here is a list which browsers I have tested:

| Browser | supported | |:-----------------:|:---------:| | Firefox | ✅ | | Chrome | ✅ | | Edge | ✅ |

| Mobile Browser | supported | |:--------------:|:---------:| | Firefox | ✅ | | Chrome | ✅ |

Owner

Name: Chetas Shree Madhusudhan
Login: ChetasShree
Kind: user
Location: India

Twitter: ChetasShree
Repositories: 47
Profile: https://github.com/ChetasShree

Hi, I'm Chetas Shree, a Pre-final year student pursuing bachelor's in Computer science and engineering. Skilled in C, C++,DSA , and currently learning Flutter.

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

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