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What projects does DeSPIN have?
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Hivemapper is a decentralized map-building protocol that uses the Drive-2-Earn model. Users report road problems in real time through mobile applications, and drivers collect data through dashcams installed on their vehicles. These data are processed by AI algorithms to generate maps, and their accuracy is verified by human RLHF. Hivemapper provides coverage maps, and users can see which areas have been mapped and access data through APIs. Data contributors are rewarded with $HONEY tokens, which can be used to purchase map data or other services.
NATIX Network is a decentralized map economy protocol that focuses on collecting road data through mobile devices and dashcams, and adopts a "drive and earn" model. Its core technology VX360 supports 360-degree panoramic data collection, and the collected data can be used to develop driver assistance functions such as autonomous driving optimization. Currently, NATIX Network has covered 171 countries, with more than 223,000 registered drivers and a cumulative mapped mileage of 131 million kilometers. Data contributors and network nodes can receive $NATIX token rewards to further stimulate ecological development.
FrodoBots is a protocol for gamified data collection through robots. Users can remotely control ground robots to collect geographic data, and support multiple modes of operation, such as controllers, keyboards, or game steering wheels. In addition, researchers can deploy AI navigation models on the platform for testing. Users earn FrodoBot Points by completing driving tasks. The points are related to the distance and difficulty of the task. The longer the distance and the higher the difficulty, the more points. FrodoBots has been tested in multiple cities and held navigation ability competitions between AI and humans. In addition, FrodoBots has established a guild-like system, Earth Rovers School, which allows new users to participate in data collection by renting Earth Rovers.
JoJoWorld is a protocol focused on 3D spatial data collection, where users contribute data to help train 3D models. The platform provides high-quality 3D data for creating a variety of digital scenes, suitable for fields such as virtual reality and urban planning. Users can also purchase these 3D data directly for personalized digital model development.
PrismaXAI is a protocol for collecting scene-specific data from a first-person perspective, suitable for complex scenarios such as hand-object interaction, dynamic movement, and social gatherings. Its core technology, Proof-of-View, ensures the authenticity of the data, while improving the accuracy of data annotation through a decentralized verification mechanism. This protocol has great potential in acquiring long-tail data, providing unique advantages for model training.
Xmaquina DAO
MeckaAI
OpenMind AGI
