The 2010 Formula 1 season remains one of the most legendary eras in motorsport history—a four-way title fight that went down to the wire in Abu Dhabi, featuring icons like Michael Schumacher, Lewis Hamilton, Fernando Alonso, and a young Sebastian Vettel. While Codemasters’ F1 2010 game captured this magic at the time, the prospect of a modern remaster offers more than just a nostalgia trip; it represents a chance to bridge the gap between classic atmosphere and next-gen technology. Restoring the "Vibe"
Even without modern graphics, the game is frequently revisited for features that many fans feel are missing from modern titles: f1 2010 remastered
Unlike modern games where you climb from F2 to F1, F1 2010 dropped you straight into the deep end of a Lotus or a Toro Rosso. The contract negotiation mini-game (where you drive a lap to impress a rival team) was simplistic but addictive. A remaster shouldn't add 40 hours of cutscenes. It should keep the sterile, media-center aesthetic of the paddock circa 2010. No TikTok dances. Just debriefings and tyre blankets. The 2010 Formula 1 season remains one of
Additional Features
When F1 2010 first hit the shelves in 2010, it was met with critical acclaim for its realistic gameplay, impressive graphics, and authentic Formula 1 experience. Developed by Codemasters, a renowned studio known for their work on racing games, F1 2010 set a new standard for the genre. The game's attention to detail, from the cars' handling to the circuit designs, was unparalleled at the time. Career Mode Integrity Unlike modern games where you
The racing genre has come a long way since its inception, and one game that still holds a special place in the hearts of many gamers is F1 2010. Developed by Codemasters, this game was a masterpiece in its time, offering an unparalleled level of realism and authenticity in the world of Formula 1 racing. Fast-forward to today, and we're excited to see that F1 2010 has been remastered, bringing its classic gameplay to modern-day consoles and PCs.
@article{wang2021mlfw,
title={MLFW: A Database for Face Recognition on Masked Faces},
author={Wang, Chengrui and Fang, Han and Zhong, Yaoyao and Deng, Weihong},
journal={arXiv preprint arXiv:2109.05804},
year={2021}
}
This database is publicly available. We provide: 1) the original images(250x250), 2) the aligned images(112x112) and 3) the pair list. Baidu Netdisk(code:328y) , Google Drive
Now, we provide a list to indicate the masked faces. Google Drive