RMSI is a global leader in geospatial and engineering solutions. These solutions address global issues of climate change, natural calamities, human habitation, food security, autonomous transportation, smart utilities and networks. It employs more than three thousand eight hundred employees and functions from offices located in three different Indian cities – Noida, Hyderabad and Dehradun and five international subsidiaries, serving clients in more than twenty five nations and five continents across the globe.
External link for RMSI Annotation & Labeling
RMSI Annotation & Labeling reposted this
As the year draws to a close, we extend heartfelt gratitude to our incredible network. Thank you for making this year a resounding success. Wishing you a Christmas filled with magic and laughter, and a New Year brimming with exciting opportunities and boundless joy. Cheers to an incredible 2025! #MerryChristmas #HappyNewYear #SeasonsGreetings
The client was looking for a partner to annotate dynamic objects from Camera and LIDAR data to create high-quality AI training data for autonomous vehicle perception systems. RMSI annotated dynamic objects like vehicles, pedestrians, and animals in 2D camera images using 2D Bounding Box tool, and in 3D Lidar scenes using 3D Cuboid Bounding Box. How did the client benefit? 1. The high-quality HD maps will assist the client in precise anticipation of various objects in the surrounding while creating an automated driving system. 2. With these training datasets, the autonomous car will be able to get familiar with an environment and will also keep a track of moving objects. #lidar #3d #mapping #3dmaps #annotation #2dmaps #hd #hdmaps
Annotation and labeling are vital processes that provide contextual information to geospatial data, enabling deeper insights and analysis. By combining the capabilities of GIS, AI, and ML, we are elevating these processes to new heights of accuracy and efficiency. RMSI is at the forefront of harnessing the power of Geographic Information Systems (GIS), Artificial Intelligence (AI), and Machine Learning (ML) in the field of annotation and labeling. Our team of experts leverages advanced AI and ML algorithms, allowing us to automate and streamline annotation tasks. This not only saves time but also enhances the precision and consistency of labeling, making the data more valuable and reliable. Reach out to us at info@rmsi.com or visit our website www.rmsi.com to know more! Rahul Srivastava #GIS #AI #ML #GeospatialData #Annotation #Labeling #RMSI