Object Detection | Faster RCNN on Custom Dataset | Deep Learning

🎯 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

Видео Object Detection | Faster RCNN on Custom Dataset | Deep Learning канала CV orbit