Skip to content

Detect objects in images using a powerful AI model with a simple web interface.

Notifications You must be signed in to change notification settings

ArifVS/Object-detector

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 

Repository files navigation

Object-detector Using Gradio and Transformers

Detect objects in images using a powerful AI model with a simple web interface. This project is an object detection application built using Gradio, PIL, and Hugging Face's transformers library. It detects objects in images and highlights them with bounding boxes and labels.

Features Uses facebook/detr-resnet-50 model for object detection. Displays detected objects with bounding boxes and labels. Easy-to-use Gradio interface.

Usage Upload an image by clicking on the "Select Image" button.

The application will detect objects and draw bounding boxes with labels on the image.

The output image will be displayed with the detected objects.

Requirements

Check requirements.txt for all dependencies.

Requirements.txt

transformers

Pillow

gradio

Developed by Velloresyed Arifulla.

About

Detect objects in images using a powerful AI model with a simple web interface.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages