If you're looking for another EyePop.ai alternative, LandingLens is definitely worth a look. This cloud-based computer vision software uses domain-specific Large Vision Models (LVMs) and deep learning to help you solve a broad range of problems across many different domains. It's got features like one-click training, detailed performance reports and flexible deployment options to help you get models up and running quickly. It's also data-centric and can automatically identify mislabeled images for efficiency.
Another good option is Roboflow. It's an all-in-one training and deployment platform for computer vision models that includes automated annotation tools and powerful deployment options. It supports more than 50,000 pre-trained open-source models and can integrate with TensorFlow, PyTorch, YOLO and big cloud computing services like AWS and Azure. Roboflow also comes with project management tools, secure role-based access controls and a free tier, making it good for developers and enterprises.
If you want a lightweight interface, ezML is a low-code platform for building apps with custom computer vision abilities. It comes with advanced prebuilt models for things like image classification and object detection, and can run inference fast at up to 60FPS. That makes it a good option for e-commerce and insurance, where automation and data extraction are key.