Enhancing Image Segmentation using U2-Net: An Approach to Efficient Background Removal
Learn OpenCV - Satya Mallick
by Kunal Dawn
6d ago
U2-Net (popularly known as U2-Net) is a simple yet powerful deep-learning-based semantic segmentation model that revolutionizes background removal in image segmentation. Its effective and straightforward approach is crucial for applications where isolating foregrounds from backgrounds is beneficial and essential. This capability has significant implications for fields such as advertising, filmmaking, and medical imaging. This article […] The post Enhancing Image Segmentation using U2-Net: An Approach to Efficient Background Removal first appeared on LearnOpenCV ..read more
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YOLOv10: The Dual-Head OG of YOLO Series
Learn OpenCV - Satya Mallick
by Ankan Ghosh
1w ago
YOLOv10 introduces a dual-head architecture for NMS-free training and efficiency-accuracy driven model design. It combines one-to-one and one-to-many label assignments to improve performance without extra computation. YOLOv10 uses lightweight classification heads, spatial-channel decoupled downsampling, and rank-guided blocks. This results in faster, more accurate object detection, making it ideal for real-time applications. The post YOLOv10: The Dual-Head OG of YOLO Series first appeared on LearnOpenCV ..read more
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Fine-tuning Faster R-CNN on Sea Rescue Dataset
Learn OpenCV - Satya Mallick
by Jaykumaran
2w ago
This research article discusses about how data preparation matters for Fine-tuning Faster R-CNN on aerial small object detection. The post Fine-tuning Faster R-CNN on Sea Rescue Dataset first appeared on LearnOpenCV ..read more
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Mastering Recommendation System: A Complete Guide
Learn OpenCV - Satya Mallick
by Ankan Ghosh
3w ago
Recommendation systems (recommender systems) suggest content based on user preferences and behaviors. This guide explores their types, traditional ML techniques like matrix factorization, and advanced deep learning methods like neural collaborative filtering. Discover how these systems enhance user experiences on platforms like Netflix, Spotify, and Amazon. The post Mastering Recommendation System: A Complete Guide first appeared on LearnOpenCV ..read more
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Automatic Speech Recognition with Diarization : Speech-to-Text
Learn OpenCV - Satya Mallick
by Jaykumaran
1M ago
This article presents ASR with Diarization using OpenAI Whisper and Nvidia Nemo Toolkit. The post Automatic Speech Recognition with Diarization : Speech-to-Text first appeared on LearnOpenCV ..read more
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Building MobileViT Image Classification Model from Scratch In Keras 3
Learn OpenCV - Satya Mallick
by Vaibhav Singh
1M ago
In the rapidly evolving field of deep learning, the challenge often lies not just in designing powerful models but also in making them accessible and efficient for practical use, especially on devices with limited computational power. This blog post addresses this challenge by focusing on the MobileViT model, a compact yet robust alternative to the […] The post Building MobileViT Image Classification Model from Scratch In Keras 3 first appeared on LearnOpenCV ..read more
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YOLOv9 Instance Segmentation on Medical Dataset
Learn OpenCV - Satya Mallick
by Jaykumaran
1M ago
This article presents a comprehensive guide to finetune YOLOv9 on custom Medical Instance Segmentation task. The post YOLOv9 Instance Segmentation on Medical Dataset first appeared on LearnOpenCV ..read more
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Retrieval Augmented Generation – RAG with LLMs
Learn OpenCV - Satya Mallick
by Rupansh Parth Kaushik
2M ago
In this article, we explore RAG with LLMs using LangChain and Hugging Face Transformers. The post Retrieval Augmented Generation – RAG with LLMs first appeared on LearnOpenCV ..read more
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Fine-Tuning YOLOv9 Models on Custom Dataset
Learn OpenCV - Satya Mallick
by Pranav Durai
2M ago
Fine-tuning YOLOv9 models on custom datasets can dramatically enhance object detection performance, but how significant is this improvement? In this comprehensive exploration, YOLOv9 has been fine-tuned on the SkyFusion dataset, with three distinct classes: aircraft, ship, and vehicle. Through an extensive series of experiments, including modifications to learning rates, image sizes, and strategic freezing of […] The post Fine-Tuning YOLOv9 Models on Custom Dataset first appeared on LearnOpenCV ..read more
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Dreambooth using Diffusers
Learn OpenCV - Satya Mallick
by Sovit Rath
3M ago
In this article, we using the Dreambooth technique to train Stable Diffusion 1.5 and teach it to generate images of a very specific species of cat. The post Dreambooth using Diffusers first appeared on LearnOpenCV ..read more
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