Object tracking 3
Unified model for segmenting objects across images and videos with high precision.
Meta Segment Anything Model 2 (SAM 2) is the first unified model for segmenting objects across images and videos. It allows users to select objects in any image or video frame using a click, box, or mask as input. SAM 2 is designed for fast, precise object selection and offers state-of-the-art performance for object segmentation in both images and videos. The models are open source under an Apache 2.0 license.
AI tool for removing unwanted objects from videos and photos
ObjectRemover is an online AI tool for removing unwanted objects, people, logos, timestamps, text, and background distractions from videos and photos. Users can upload MP4, MOV, JPG, PNG, or WebP files, describe what should be removed, and let AI detect, track, and restore the surrounding area. The tool also supports extracting subjects with transparent backgrounds and provides browser-based downloads for edited media.
AI-powered platform transforming pixel-based data into actionable intelligence.
Vidrovr is an AI-Powered platform that transforms pixel-based data across various sources into actionable insights. It empowers analysts to process video, imagery, geospatial, and other data to deliver quick, actionable intelligence for informed decisions. The platform helps to sift through terabytes of data, eliminating the need to manually sift through hours of videos or monitor live feeds.
