Vision Segmentaion Model

Vision Segmentaion Model

Project Overview

Vision Segmentation Model is a deep learning model designed to identify and segment objects in images. The project aims to provide a robust and accurate solution for image processing tasks, including:

  • Object detection and classification.
  • Image segmentation and labeling.
  • Real-time image processing for video streams.

Key Features

  • Deep Learning: Utilizes state-of-the-art neural networks for image processing.
  • Object Detection: Identifies objects and their boundaries in images.
  • Image Segmentation: Labels and segments objects for further analysis.
  • Real-time Processing: Supports video streams for live object detection.

Technologies Used

  • Programming: Python
  • Machine Learning Frameworks: TensorFlow, PyTorch
  • Data Processing Tools: Pandas, NumPy
  • Visualization: Matplotlib, Plotly
  • Version Control: Git, GitHub