Question: I'm looking for a machine learning module that can add real-time computer vision capabilities to my project with minimal coding.

If you need a machine learning module that can give your project real-time computer vision abilities with a small amount of code, Raman Labs is a good choice. This collection of modules requires only a few lines of code and runs at real-time performance on consumer-grade CPUs. It can perform a variety of tasks, including face detection, pose detection, and face embedding, through an easy-to-use API. The platform also includes other tools like Hachi for natural language search and VideoIntel for real-time semantic search in videos, so it's got a lot of flexibility and can be used in many different ways.

Another good option is ezML, which offers a lightweight API interface for custom computer vision applications. It offers more advanced abilities like image classification, object detection and facial analysis, and lets you string together pipelines of prebuilt models with a minimum of programming. Its ability to run inference quickly at up to 60FPS and to scale to handle a lot of traffic makes it a good fit for e-commerce, insurance and manufacturing.

LandingLens is another powerful platform that uses Large Vision Models to tackle a range of computer vision challenges. It lets you create and train your own LVMs with your own imagery, and it offers flexible deployment options and scaling. The platform also includes tools for efficient image labeling, continuous learning, and automatic mislabeled image detection, so it's a good all-purpose tool for machine learning work.

If you want a no-code or low-code option, EyePop.ai lets you build your own custom computer vision applications through an intuitive interface. It can handle live stream analysis and lets you easily create custom solutions, so it's accessible even if you don't have a lot of technical expertise. The company's goal is to make computer vision technology useful and accessible for a variety of needs and industries.