In this article, we discuss what a neural network is and walk through the most common network architectures.

Consider a scenario where you are building a model to detect cars on a street. If a car is parked on a street designated with no parking, you want to

In this article, we show how to use the cv2 library to draw bounding box prediction labels in Python.

The full code for this article is on GitHub Today, we will explore the use of PyTorch's distributed collective communication feature. When working with multiple GPUs, it is necessary to

In this article, we discuss what an activation function is, why they are used, and what types of activation functions are commonly used.

In this article, we discuss what zero-shot learning is, how it works, and when zero-shot learning is and is not useful.

In this article, we're going to walk through how to detect concrete cracks using instance segmentation.

In this post, we discuss what semi-supervised learning is and walk through the techniques used in semi-supervised learning.

In this post, we use a YOLOv5 detection model and state-of-the-art tracker ByteTRACK to track football players.