Image Segmentation | DeepLabV3 ResNet50 | Train on Custom Dataset

🧱 Cracks Segmentation using DeepLabV3-ResNet50 📌 Overview This video contains a complete pipeline for segmentation of cracks using DeepLabV3 with ResNet50 backbone, leveraging transfer learning with PyTorch. The model is trained on a custom cracks dataset with binary labels (Background and Crack regions). 📋 What's Included? ✅ Data Preparation & Visualization ✅ DeepLabV3 Model Customization ✅ Crack Segmentation Dataset Loader ✅ Training & Validation with Loss Tracking ✅ Cosine Annealing LR Scheduler ✅ Inference & Prediction Visualization 🛠 Tech Stack Python 🐍 PyTorch 🔥 Torchvision Albumentations 🌈 Matplotlib 📊 OpenCV 📷 Google Colab ☁️ 📥 Github Link : https://github.com/NitinCVOrbit/Crack... #DeepLearning #ImageSegmentation #CrackDetection #PyTorch #DeepLabV3 #ResNet50 #ComputerVision #CustomDataset #SemanticSegmentation #ColabTutorial #MachineLearningProject