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Machine Perception Features

Machine Perception's Core Features

The core features of Machine Perception include: 1. Search and filter tool: Allows users to search and filter large datasets based on text, similar images, or 3D features. 2. Cost savings: Reduces annotation and labeling costs by 10x. 3. Natural language queries: Understands natural language queries to find specific objects in datasets. 4. Image similarity search: Allows users to find similar images based on uploaded images. 5. 3D feature filtering: Filters datasets based on 3D features like distance from the camera.

Machine Perception's Use Cases

Machine Perception can be used in various industries and applications, including autonomous vehicles, robotics, drones, fitness, IoT/remote cameras, satellite and remote monitoring, and many others. It is beneficial for companies with large datasets of images and videos who need to manage and analyze their computer vision datasets.

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