This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

This study evaluates YOLOv12 using a globally sourced traffic dataset that includes varied weather conditions, lighting scenarios, and geographic locations. The model demonstrates strong performance ...

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 ...

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 ...

machine-learning computer-vision deep-learning pytorch object-detection Updated on Aug 13, 2023 Python ...

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

Our solution utilizes Machine Learning, specifically the pre-trained EfficientDet-D4 object detection model from TensorFlow Hub. It addresses the challenge of automating object detection in images.

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 ...