While Machine Learning (ML) has emerged as a promising solution for anomaly detection, challenges such as scalability, adversarial robustness, and energy efficiency remain unresolved. This study aims ...

This study investigated an object detection technique for lung cancer using the YOLO object detection model to train and validate the model and evaluate whether it can effectively detect the types of ...

This model is a Flask based , specially designed for the detection of waste category , using python's open source library - OpenCV , NumPy , Pandas . It provides insights according to the detected ...

In recent, the field of object vehicles detection in video is very interested and had became applicable with methods of deep learning and machine learning. The main objective for these applications is ...

Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications Anam Nigar 1 Yang Li 1* Muhammad Yousuf Jat Baloch 2 Abdulwahed Fahad Alrefaei 3 ...

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Object detection and tracking is popular area in computer vision. Because of its vast applications in different fields such as surveillance, tracking modules used for security and many other ...

Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset For this example, we will be using the Jupyter Notebook to train a machine learning algorithm with the classic Iris ...

Let's now take a look at implementing an easy solution for Object Detection with Python. Recall that you are using HuggingFace Transformers, which must be installed onto your system - run pip install ...