Integrate Object Detector with Frontend and Upgrade YOLO Model to Version 8

[AhmedFatthy1040]

Integrate Object Detector with Frontend and Upgrade YOLO Model to Version 8

Objective:

• Integrate the object detector with the frontend to display detected objects in real-time or on uploaded images.
• Upgrade the YOLO model to version 8 for improved accuracy and performance.

Tasks:

1. Frontend Integration:

   • Create a new component or modify an existing one to display detected objects.
   • Implement the logic to send image data to the backend for detection.
   • Receive the detected objects from the backend and display them on the frontend.
   • Consider using a suitable visualization library (e.g., Plotly, D3.js) for displaying the detected objects and bounding boxes.

2. YOLO Model Upgrade:

   • Utilize a Pretrained YOLOv8 Model:
     • Download a suitable pretrained YOLOv8 model from the Ultralytics repository or other reliable sources.
     • Load the pretrained model into the backend.
   • Fine-tune the Model (Optional):
     • If necessary, fine-tune the pretrained model on a custom dataset to improve performance on specific object classes or scenarios.