YOLO11 is finally here, revealed at the exciting Ultralytics YOLO Vision 2024 (YV24) event. 2024 is a year of YOLO models. After the release of YOLOv8 in 2023, we got YOLOv9 and YOLOv10 this year, and ...
Exploring DINO: Self-Supervised Transformers for Road Segmentation with ResNet50 and U-Net
DINO is a self-supervised learning (SSL) framework that uses the Vision Transformer (ViT) as it's core architecture. While SSL initially gained popularity through its use in natural language ...
SAM 2 – Promptable Segmentation for Images and Videos
Image segmentation is one of the most fundamental tasks in Computer Vision. With their Segment Anything Model (SAM), last year, Meta AI put forth the world's first foundation model for image ...
Enhancing Image Segmentation using U2-Net: An Approach to Efficient Background Removal
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 ...
Semantic Segmentation using KerasCV DeepLabv3+
The KerasCV series continues with this second article. Continuing from the previous post, where we discussed Object Detection using KerasCV YOLOv8, this article discusses solving a semantic ...
Medical Image Segmentation Using 🤗 HuggingFace & PyTorch
Medical image segmentation is an innovative process that enables surgeons to have a virtual "x-ray vision." It is a highly valuable tool in healthcare, providing non-invasive diagnostics and in-depth ...
