YOLO-NAS Pose models is the latest contribution to the field of Pose Estimation. Earlier this year, Deci garnered widespread recognition for its groundbreaking object detection foundation model, ...
Enhancing Medical Multi-Label Image Classification Using PyTorch & Lightning
In the pivotal field of medical diagnostics, swift and accurate image classification plays a crucial role in aiding healthcare professionals' decision-making. The advent of deep learning, coupled with ...
Deploying a Deep Learning Model using Hugging Face Spaces and Gradio
In deep learning, training a model is not the final step. Be it image classification or object detection, a deep learning project becomes worthwhile only when it reaches the masses. That's where ...
Train YOLOv8 on Custom Dataset – A Complete Tutorial
Ultralytics recently released the YOLOv8 family of object detection models. These models outperform the previous versions of YOLO models in both speed and accuracy on the COCO dataset. But what about ...
Getting Started with YOLOv5 Instance Segmentation
The YOLOv5 object detection models are well known for their excellent performance and optimized inference speed. Recently the support for instance segmentation has also been added to the codebase. ...
DeepLabv3 & DeepLabv3+ The Ultimate PyTorch Guide
DeepLab models, first debuted in ICLR ‘14, are a series of deep learning architectures designed to tackle the problem of semantic segmentation. After making iterative refinements through the years, ...