Skip to content

Latest commit

 

History

History
68 lines (55 loc) · 2.26 KB

README.md

File metadata and controls

68 lines (55 loc) · 2.26 KB

TOAST UI Editor

Object-Detection-Yolov5 is a Django WebApp integrating YoloV5 for real-time object detection. Harness the power of Python, Django, and YoloV5 .

You can upload either a TIFF photo with metadata or a regular photo to detect objects using YOLO.

WebApp WebApp GIF
WebApp

Processed TIFF photos

WebApp WebApp GIF WebApp GIF

Built with

  • Django: A high-level Python web framework used for rapid development and clean design.
  • Crispy Forms: Provides improved form layouts with Django.
  • Celery: Enables background task processing for asynchronous operations.
  • YOLOv5: Deep learning model for real-time object detection.
  • Bootstrap 4 & Crispy-Bootstrap4: Adds responsive design and styling to the app.
  • Whitenoise: Simplifies static file handling and improves performance in production.
  • GeoPandas & GDAL: Facilitates working with geospatial data.
  • Django User Agents: Helps detect user devices for adaptive content.
  • Django DB Backup: Automates database and media backup management.

MIT © Inert Tila

Website © Inert Tila

Linkedin © Inert Tila