Facial Emotion Recognition (FER) refers to the process of identifying and categorizing human emotions based on facial expressions. By analyzing facial features and patterns, machines can make educated ...
IoU Loss Functions for Faster & More Accurate Object Detection
Object detection is one of the most important challenges in computer vision. Deep learning-based solutions can solve it very effectively. To solve any problem using deep learning, first, we need to ...
Exploring SAHI: Slicing Aided Hyper Inference for Small Object Detection
Small object detection refers to the task of identifying and localizing objects that are relatively small in size within digital images. These objects typically have limited spatial extent and low ...
A Closer Look at CVAT: Perfecting Your Annotations
The backbone of every computer vision application is the data used. The quality of data determines how good the final application will perform. It is needless to say that sometimes we need to collect ...
OpenCV Face Recognition – Does Face Recognition Work on AI-Generated Images?
As artificial intelligence (AI) technology advances, so does the ability to generate incredibly realistic computer-generated images. This raises an important question: can facial recognition ...
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 ...