Finetuning and testing a YOLOX model on custom built dataset. Creating and deploying object detection API to cloud
Sub Category
- Data Science
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Objectives
- Master the basics of Object detection
- Understanding pre-deep learning algorithms like haarcascades
- Understanding deep learning algorithms like YOLO and YOLOX
- Create your own dataset with Remo
- Understanding the Pascal VOC dataset
- Convert your custom dataset to Pascal VOC Format
- Testing and training YOLOX model on custom dataset
- Integrating Wandb for experiment tracking
- Converting trained model to Onnx format
- Understanding how APIs work
- Building Object detection API with Fastapi
- Deploying API to the Cloud
- Load testing the API with Locust
- Running the object detection model in c++
Pre Requisites
- Basic Knowledge of Python
- Access to an internet connection, as we shall be using Google Colab (free version)
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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