If you're looking for a platform with pre-built templates and real-time object detection for computer vision projects, Ultralytics is a top pick. It lets you create AI models without writing code, supports mobile apps and can run on frameworks like TensorFlow, ONNX and CoreML. With real-time object detection powered by Ultralytics YOLO, it's good for startups, enterprises and even enthusiasts.
Another top pick is Roboflow, an all-purpose platform for training and deploying computer vision models. It's got automated annotation tools, a large library of pre-trained models, and support for frameworks like TensorFlow and PyTorch. Roboflow's project management tools and secure deployment options make it a good choice for developers and enterprises trying to get their computer vision work into production.
If you want to go further with object segmentation, the Segment Anything Model (SAM) lets you zero-shot object segment images with a single click. It works with different input prompts and is available on PyTorch and ONNX, so it can be used in a variety of tasks from image editing to 3D object generation.
Last, Ximilar has a powerful image recognition and visual search API that can be used for object detection, tagging and searching images. You can train your own model and integrate it with your own system with a REST API. That makes it a good choice for e-commerce, fashion and other businesses that need to automate image processing tasks.