Object Detection | Faster RCNN on Custom Dataset | Deep Learning

Video Description

🎯 Object Detection with Transfer Learning (Faster R-CNN) | Apple-Orange-Banana Detection 🚀 In this video, we walk you through how to train an Object Detection model using Faster R-CNN with Transfer Learning. We use a custom dataset featuring apples, oranges, and bananas. Whether you're a beginner or looking to improve your object detection skills, this step-by-step guide has you covered! 📦 What's Covered ✅ Object Detection Fundamentals ✅ Using Transfer Learning with Faster R-CNN (PyTorch) ✅ Preparing & Annotating a Custom Dataset ✅ Training & Fine-Tuning the Model ✅ Evaluating Performance & Visualizing Predictions 🛠 Tech Stack Python 🐍 PyTorch 🔥 OpenCV 📷 Matplotlib 📊 LabelImg 🏷️ 📁 Download Dataset Get the Apple-Orange-Banana dataset used in this tutorial: 🔗 GitHub Link: https://github.com/NitinCVOrbit/Apple_Banana_Orange_Object_Detection_FasterRCNN 🔗 Dataset Link: https://drive.google.com/file/d/1IC_6iPYFAc20ZFMjUkJDq3xWCgy6aAEw/view?usp=sharing 📢 Subscribe for More 👍 Like, 🔔 Subscribe, and 🔄 Share if you found this helpful! We post tutorials on AI, Deep Learning, and Computer Vision every week. #FasterRCNN #ObjectDetection #TransferLearning #DeepLearning #ComputerVision #PyTorch #AI #Dataset #FruitsDetection