Layer is the collaboration-first metadata store for production ML that enables build, train and track all of your machine learning project metadata including ML models and datasets with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training.
Data labeling is the act of adding additional context or insight to an image or file. For problems that require a specialized type of insight, this labeling is often done by a human with the goal of building a model that can be used to replace human labeling over time.
A Convolutional Neural Network is a special class of neural networks that are built with the ability to extract unique features from image data. For instance, they are used in face detection and recognition because they can identify complex features in image data.