Custom Semantic Segmentation using DeepLabv3 for a Document Scanning application
5.5 هزار بار بازدید -
2 سال پیش
-
Document Scanning is a background
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.
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📝 Linkedin: LinkedIn: satyamall..
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🔗 Reddit: Reddit: spmallick
🔖Hashtags🔖
#AI #segmentation #scannedocument #deeplabv3 #machinelearning #objectdetection #deeplearning #computervision #artificiailntelligence
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: LinkedIn: satyamall..
📱 Twitter: Twitter: LearnOpenCV
🔊 Facebook: https://www.facebook.com/profile.php?...
📸 Instagram: Instagram: learnopencv
🔗 Reddit: Reddit: spmallick
🔖Hashtags🔖
#AI #segmentation #scannedocument #deeplabv3 #machinelearning #objectdetection #deeplearning #computervision #artificiailntelligence
- #education
- #segmentation_of_scanned_documents_using_deep_learning_approach
- #document_segmentation_deep_learning_github
- #scanned_document_classification_using_computer_vision
- #semantic_segmentation_with_opencv_and_deep_learning
- #how_do_you_perform_semantic_segmentation
- #how_do_you_create_a_dataset_for_semantic_segmentation
2 سال پیش
در تاریخ 1401/06/08 منتشر شده
است.
5,501
بـار بازدید شده