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🚀 Object Detection with Transfer Learning | Faster R-CNN Tutorial

In this video, learn how to build a Pistol Object Detection model using Transfer Learning with Faster R-CNN. We’ll walk through dataset preparation, annotation, model training, and evaluation step by step. Perfect for beginners and intermediate learners working with PyTorch and computer vision.

📌 What You’ll Learn:
✅ Fundamentals of Object Detection
✅ Transfer Learning with Faster R-CNN
✅ Preparing & Annotating a Custom Dataset
✅ Training the Model from Scratch
✅ Evaluating Results & Making Predictions

🛠 Tools & Libraries Used:
• Python 🐍
• PyTorch 🔥
• OpenCV 📷
• Matplotlib 📊
• LabelImg 🏷️

📂 Github:https: //github.com/NitinCVOrbit/Pistol_Object_Detection_FasterRCNN

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