If you want a service to predict the metric depth of each pixel in your images to boost computer vision, Depthify.ai is a top contender. This cloud and desktop service converts 2D photos and videos into 3D spatial content that works with Apple Vision Pro and Meta Quest devices. It can handle monocular depth estimation and has a variety of depth estimation models, so it's good for 3D modeling and user experience work.
Another strong contender is Immersity AI, which uses a Neural Depth Engine to generate detailed depth maps from 2D imagery and video. It can convert 2D to 3D and has a flexible credit system that makes it useful for everything from advertising to architecture. It also offers API integration options for XR headsets and 3D displays.
If you need a broader computer vision foundation, check out Roboflow. Although it's geared primarily for training and deploying computer vision models, it also includes automated annotation tools and pre-trained models. With integration options for TensorFlow, PyTorch and cloud services like AWS and Azure, Roboflow is designed to make computer vision work and model deployment easier, and it's a good foundation for whatever you need.