Live Demo: My Custom Car Brand Detection API in Action (YOLOv5 & FastAPI)
на канале: Lochana Dahanayake
this is a live web server in action. I'm using the interactive API documentation (auto-generated by FastAPI) to send a POST request containing an image to the /predict endpoint.
In real-time, the Python server:
Receives the image.
Processes it and runs it through my custom-trained V2 YOLOv5 model.
Returns a structured JSON response containing the detected brand, its confidence score, and the bounding box coordinates.
This demonstrates the complete MLOps pipeline—from training a model to deploying it as a stable, usable service that any other application could connect to.
LINKS:
GitHub Repository: https://github.com/loch214/car-brand-detec...
Portfolio Website: [Link to your Personal Portfolio Website]
TECHNOLOGIES:
#FastAPI #YOLOv5 #PyTorch #Python #MLOps #APIDevelopment #ComputerVision #MachineLearning #DeveloperPortfolio