Machine Perception
Machine Perception is an automated intelligence tool that allows users to search and filter large video and image datasets for specific objects, anomalies, similar images, or 3D features. It aims to reduce annotation and labeling costs by 10x by providing a tool to wrangle and search through computer vision datasets.
Description
how to use:
To use Machine Perception, simply upload your large dataset of images or videos. You can then use the search and filter tool to narrow down your dataset based on text, similar images, or 3D features. The tool will provide you with the filtered results, allowing you to focus on the images that require annotation and saving you annotation and labeling costs.
Core freatures:
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.
Use case:
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.
FAQ list:
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