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 ...
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Fine-tuning Faster R-CNN on Sea Rescue Dataset – Small Object Detection: PyTorch
Detecting small objects in aerial imagery, particularly for critical applications like sea rescue, presents unique challenges. Timely detection of people in the water can mean the difference between ...
Mastering Recommendation System: A Complete Guide
Suppose you’re listening to a song on Spotify, watching a video on YouTube or Netflix, or shopping on Amazon; you’ll always see a list of similar songs, videos, or products recommended to you. ...
WhisperX Automatic Speech Recognition (ASR) with Nemo Speaker Diarization : Speech-to-Text
Automatic Speech Recognition (ASR) is a complex domain within AI, serving as a primary medium that echoes the seamless Human-Machine Interactions depicted in films like Ironman (Jarvis) and HER ...
Building MobileViT Image Classification Model from Scratch In Keras 3
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 ...
YOLOv9 Instance Segmentation on Medical Dataset
Deep learning has revolutionized medical image analysis. By identifying complex patterns within medical images, it helps us to interpret crucial insights about our biological systems. So, if you ever ...
