Projects
Stationary Items Classification

Stationary Items Classification

Team: kapilsharma2122

Project Details

Project Description: We have created a Machine learning based model to classify between eraser and pencil using object recognition technique. Object Recognition: Object recognition is the technique of identifying the object present in images and videos. It is one of the most important applications of machine learning and artificial intelligence. The goal of this field is to teach machines to understand (recognize) the content of an image just like humans do. Image Classification: In Image classification, it takes an image as an input and outputs the classification label of that image with some metric like probability, loss, accuracy, etc. Applications: • Driver-less Cars: Object Recognition is used for detecting road signs, other vehicles, etc. • Medical Image Processing: Object Recognition and Image Processing techniques can help detect disease more accurately. Image segmentation helps to detect the shape of the defect present in the body. For Example, Google AI for breast cancer detection detects more accurately than doctors. • Surveillance and Security: such as Face Recognition, Object Tracking, Activity Recognition, etc.
Project Theme: Automate the Surroundings
Project Category: AI and ML Projects
Country: India