Keras

Keras is an open-source, high-level neural networks API written in Python, designed to facilitate fast experimentation with deep learning models. It is particularly well-suited for various computer vision tasks, including image classification, where users can build and train models to categorize images (such as identifying different dog breeds), object detection for localizing items in images or videos (like recognizing cars in traffic footage), and semantic segmentation that classifies each pixel in an image (for instance, labeling pixels in a street scene as road, car, or pedestrian). Additionally, Keras supports image generation, allowing the creation of new images based on learned patterns. Its user-friendly syntax makes it accessible for beginners, while its modularity enables the construction of complex models from reusable components. Keras is also extensible, supporting custom layers, loss functions, and metrics, and benefits from a large, active community that provides extensive resources and support. However, users should note that the high-level abstraction may limit fine-grained control over model training for advanced applications, and performance can be slower compared to lower-level libraries like TensorFlow for certain tasks. Additionally, Keras may lack specialized tools or optimizations for specific computer vision applications.