Machine Perception: An Overview

Machine Perception is an advanced automated intelligence system designed to assist users in efficiently searching and filtering extensive datasets of videos and images. It specializes in identifying specific objects, anomalies, similar images, and 3D features. By streamlining the process of annotation and labeling, it aims to reduce associated costs by a factor of ten, providing a robust tool to organize and manage computer vision datasets effectively.

Machine Perception: Main Features

1. Search and Filter Tool: Enables users to search and filter extensive datasets utilizing text, similar images, or 3D features.
2. Cost Efficiency: Significantly lowers annotation and labeling expenses by 10 times.
3. Natural Language Processing: Supports natural language queries for locating specific objects within datasets.
4. Image Similarity Search: Facilitates the discovery of similar images based on provided uploads.
5. 3D Feature Filtering: Allows filtering of datasets based on 3D characteristics such as distance from the camera.

Machine Perception: User Guide

1. Begin by uploading your large dataset comprising images or videos to the Machine Perception platform.
2. Utilize the search and filter tool to refine your dataset by specifying text, selecting similar images, or applying 3D feature filters.
3. Examine the filtered results generated by the platform to identify images that necessitate annotation.
4. Focus on the images identified through the search tool, thereby optimizing your annotation efforts and reducing overall costs.

Machine Perception: User Reviews

• "Machine Perception has transformed the way we handle our video datasets, saving us time and resources!" - Sarah K.
• "The accuracy in filtering images based on 3D features is impressive. Highly recommend!" - John M.
• "This tool has drastically cut our annotation costs. A must-have for any data-heavy organization!" - Emily R.