If you're looking for something other than OpenCV, Roboflow is another strong contender. It's a full-fledged platform for training and deploying computer vision models, with automated annotation tools, flexible deployment options and a large library of pre-trained models. Roboflow can be integrated with frameworks like TensorFlow and PyTorch and can be deployed to edge and cloud environments, so it's a good choice for developers and companies.
Another interesting platform is Hugging Face, a collaborative machine learning ecosystem with more than 400,000 models and 150,000 applications. It also has a lot of datasets and tools for model collaboration and development. The pricing plans are flexible, including a free tier, so it can be used by developers or companies.
If you're a business that needs powerful cloud-native computer vision APIs, api4ai has a variety of options for things like background removal, OCR and face recognition. With a single HTTP API and RESTful design, it's easy to consume and analyze images and videos from anywhere. That makes it a good option for businesses that want to automate processes and extract information from big data sets.
Last, ezML is an API interface for building your own applications with custom computer vision abilities. Its low-code interface and fast inference means it's good for building flexible pipelines with a minimum of programming. It's a good option for e-commerce, insurance and manufacturing, where automation and data extraction are important.