OpenAI has released two free, customizable AI models, gpt-oss-120b and gpt-oss-20b. These models rival OpenAI's premium ...

Image classification neural networks were utilized to identify the grid cells containing vegetables and exclude them from further analysis. Finally, image processing technology was employed to segment ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

The model training process involved the utilization of essential Python libraries such as NumPy, OS, and OpenCV for handling numerical operations, interacting with the operating system, and image ...

There is a need to develop effective curricula based on real-life cases that can be used to broaden students’ participation and motivate them during their studies. Real-life case examples are crucial ...

The training procedure is implemented using Python, where the dataset is randomly split into training and test sets using the random_split method, allocating 80% for training and 20% for testing.

AI ML based Image enhancement module built in Python. It is used for improving the quality of images using different filters in openCV. It works better with gray-scale images ...

This drowsy detection is done using real time input image of the driver using a camera and image processing using Python. Next, drowsiness sign can be detected from the facial expression of the driver ...