Satellites Spotting Depth

Depth Anything V2 is a depth estimation model that was released last year. It was developed by a team from TikTok and the University of Hong Kong (HKU). Almost ~600K synthetic, labelled images and over 62M real, unlabelled images were used in its training. In this post, I'll run Depth Anything V2's largest model against Maxar's satellite imagery 2025 of Bangkok, Thailand. My Workstation I'm using a 5.7 GHz AMD Ryzen 9 9950X CPU. It has 16 cores and 32 threads and 1.2 MB of L1, 16 MB of L2 and 64 MB of L3 cache. It has a liquid cooler attached and is housed in a spacious, full-sized Cooler Master HAF 700 computer case. The system has 96 GB of DDR5 RAM clocked at 4,800 MT/s and a 5th-generation, Crucial T700 4 TB NVMe M.2 SSD which can read at speeds up to 12,400 MB/s. There is a heatsink on the SSD to help keep its temperature down. This is my system's C drive. The system is powered by a 1,200-watt, fully modular Corsair Power Supply and is sat on an ASRock X870E Nova 90 Motherboard. ... Read full article.