The new set, called Learning to Drive (L2D), is more than a petabyte in size, and contains data ... Face and Yaak plan to conduct real-world “closed-loop” testing of models trained using ...

The Data Science Lab Data Anomaly Detection Using LightGBM Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom ...

Abstract: In this paper, we use synthetic data and propose a new method for template inversion attacks against face recognition systems. We use synthetic data to train a face reconstruction model to ...

Face detection is a computer vision technology that helps to locate/visualize human faces in digital images. This technique is a specific use case of object detection ... Numpy array containing pixels ...

Hugging Face appears to be the latest AI player joining the robotics race, as a former Tesla scientist says he's starting an "ambitious" open-source robotics project at the AI tech platform.

Face recognition across Near Infrared (NIR ... and then display them under the same circumstances to obtain high-quality training data using a cutting-edge facial reflectance collection approach. The ...

Recognition of the face as an identity is a critical aspect in today’s world. Facial identification and recognition find its use in many real-life contexts ... and attributes analysis framework for ...

The objective of this project is to demonstrate face tracking from live stream video using seven built-in OpenCV Python tracking functionalities, as listed above. We shall assume the following: The ...