Mean Average Precision (mAP) Explained and PyTorch Implementation

In this video we learn about a very important object detection metric in Mean Average Precision (mAP) that is used to evaluate object detection models. In the first part of the video we try to understand how this method works and then move on to PyTorch to implement this from scratch. ❤️ Support the channel ❤️ Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization ⭐ Deep Learning Specialization 📘 MLOps Specialization 📘 GAN Specialization 📘 NLP Specialization ✨ Free Resources that are great: NLP: CV: Deployment: FastAI: 💻