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Custom Semantic Segmentation using DeepLabv3 for a Document Scanning application

LearnOpenCV
59.5K subscribers
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6.5K views 2 years ago #objectdetection #AI #computervision
Document Scanning is a background segmentation problem that can be solved using various methods. It is an extensively used application of computer vision. Here we consider Document Scanning as a semantic segmentation problem. We use DeepLabv3 semantic segmentation architecture to train a Document Segmentation model on a custom dataset. We also talk about the following topics: ✅Creating synthetic data to augment the dataset. ✅Creating custom dataset classes in PyTorch. ✅Fine-tuning DepLabv3 with custom loss functions. ✅Deploy the application using Streamlit. 📚 Blog post link: https://learnopencv.com/deep-learning... 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vis …...more
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Custom Semantic Segmentation using DeepLabv3 for a Document Scanning application
71Likes
6,555Views
2022Aug 30
Document Scanning is a background segmentation problem that can be solved using various methods. It is an extensively used application of computer vision. Here we consider Document Scanning as a semantic segmentation problem. We use DeepLabv3 semantic segmentation architecture to train a Document Segmentation model on a custom dataset. We also talk about the following topics: ✅Creating synthetic data to augment the dataset. ✅Creating custom dataset classes in PyTorch. ✅Fine-tuning DepLabv3 with custom loss functions. ✅Deploy the application using Streamlit. 📚 Blog post link: https://learnopencv.com/deep-learning... 🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level. https://opencv.org/courses #️⃣ Social Media #️⃣ 📝 Linkedin:   / satyamall.  . 📱 Twitter:   / learnopencv   🔊 Facebook: https://www.facebook.com/profile.php?... 📸 Instagram:   / learnopencv   🔗 Reddit:   / spmallick   🔖Hashtags🔖 #AI #segmentation #scannedocument #deeplabv3 #machinelearning #objectdetection #deeplearning #computervision #artificiailntelligence

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LearnOpenCV

59.5K subscribers