


What is Machine Perception?
Machine Perception is a revolutionary automated intelligence tool designed to enhance search capabilities and streamline data analysis. With this tool, users can effortlessly search and filter through extensive collections of videos and images to locate specific objects, identify anomalies, find similar images, or even explore 3D features. By leveraging the power of computer vision, Machine Perception aims to significantly reduce annotation and labeling costs by up to 10 times, providing an efficient solution for managing and exploring vast datasets.
Information
- Language
- English
- Price
- Contact for Pricing

Freework.ai Spotlight
Display Your Achievement: Get Our Custom-Made Badge to Highlight Your Success on Your Website and Attract More Visitors to Your Solution.
Website traffic
- Monthly visits--
- Avg visit duration--
- Bounce rate--
- Unique users--
- Total pages views--
Access Top 5 countries

Oops, no data.
Traffic source
Machine Perception FQA
- What can Machine Perception do?
- How does Machine Perception help in managing computer vision datasets?
- What are the features of Machine Perception's search and index tool?
- Can Machine Perception understand natural language queries?
- How does Machine Perception automate the intelligence required for introspection into computer vision datasets?
Machine Perception Use Cases
Search and filter large video and image datasets for specific objects, anomalies, similar images, or 3D features
We aim to reduce annotation and labeling costs by 10x by providing a tool to filter and search through computer vision datasets
Our search tool allows you to filter millions of images down to just a few hundred. This allows you to focus on what images to annotate and saves you 10x on annotation and labeling costs
You can filter by text, similar images, or by defining 3D features like distance of object from the camera
Use text to search through your dataset, specifying the name of object you'd like to find. Our search engine can understand natural language queries and finds instances of the object you want to build a dataset of. Or if you just want to find similar instances of an environment (glare, dust, fog, etc.) or an anomaly in your dataset, you can search by uploading a single image and the tool will return all similar images
Filter your dataset by 3D features such as 'all images with an object less than 5m away'. This allows you to filter out sparse environment photos or images where not much is going on
By automating the intelligence required for introspection into computer vision datasets, we're allowing our customers to build computer vision models faster and at 10x cost savings
No more annotation or labeling before you understand what's in your dataset and what can be built from it