If you want a self-service interface to write your own computer vision apps, EyePop.ai is a good option. This no-code/low-code service lets you create your own computer vision apps called "Pops" that run on existing images, videos or live video streams. It's got features like pop creation, live video analysis and custom solutions for different industries, so it's accessible even to those who don't have a lot of technical expertise.
Another option is ezML, which offers a lightweight API interface for building your own apps with computer vision abilities. It's geared for low-code development and offers more sophisticated abilities like image classification, object detection and facial analysis. It's optimized for performance and scalability, so it's good for e-commerce, insurance, sports and manufacturing.
If you want something more complete, check out LandingLens. This cloud-based service uses domain-specific Large Vision Models to address a broad range of challenges across many industries. You can create and train your own models using your own imagery to get better results and speed up development.
Last, Roboflow is an all-in-one service for training and deploying computer vision models. It's got automated annotation tools, powerful deployment options and integration with popular frameworks like TensorFlow and PyTorch. It works on edge and cloud computing systems and has flexible project management tools, so it's good for developers and companies trying to make their computer vision work more efficient.