object-detection-using-yolov5

https://github.com/tanishjain-glitch/object-detection-using-yolov5

Science Score: 44.0%

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CITATION.cff file
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codemeta.json file
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.zenodo.json file
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Scientific vocabulary similarity
Low similarity (2.9%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: Tanishjain-glitch
Language: Python
Default Branch: main
Size: 688 KB

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

Created 8 months ago · Last pushed 8 months ago

Metadata Files

Readme Citation

README.md

🎯 Real-Time Object Detection with YOLOv5 and Webcam

This project implements real-time object detection using YOLOv5 on a webcam feed, powered by a pretrained model trained on the COCO dataset.

📌 Features

🎥 Real-time object detection from webcam
🧠 YOLOv5s model (pretrained on COCO dataset)
📦 Detects 80 common objects (person, car, dog, bottle, etc.)
🚀 GPU-accelerated (Jetson, CUDA-supported)
🖼️ Displays results with bounding boxes and class labels
💾 Option to save cropped detections and detection results

Thank You

Owner

Login: Tanishjain-glitch
Kind: user

Repositories: 1
Profile: https://github.com/Tanishjain-glitch

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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