If you're looking for another Raman Labs alternative, ezML is definitely worth a look. ezML provides a lightweight API interface that lets developers create custom applications with computer vision models for tasks like image classification, object detection, and facial analysis. Its low-code interface makes it easy to string together pipelines of pre-trained models, and it can run inference at up to 60FPS for high-speed applications.
Another alternative is Twelve Labs, a multimodal AI-powered video understanding platform. It offers APIs for fast video search, text generation and classification, all backed by large video foundation models. The platform can handle large video datasets and offers high accuracy and customization options, making it a good option for applications that need to deeply understand video.
If you're interested in zero-shot object segmentation, the Segment Anything Model (SAM) could be a good option. The system lets you perform segmentation tasks quickly and efficiently with very little training data, so it's a good option for things like object tracking and image editing. It can run on either CPU or GPU for flexibility and speed.
Last, Modelbit is an ML engineering platform for deploying custom and open-source machine learning models. It comes with built-in MLOps tools and supports a variety of platforms, so it's a good option for anyone who wants to deploy and manage ML models. The autoscaling infrastructure and security features mean your models can handle heavy loads without worrying about data privacy.