As part of the preparations for launching a new computer vision-based application, a community is being formed to directly participate in enhancing machine learning algorithms. Unlike typical gaming projects common in Telegram, this solution is not yet another app focused on mechanical data input (clickers, in-game subscriptions, and donations).
The primary goal of the development is to integrate cutting-edge computer vision technologies with active user involvement, whose activities will help optimize object identification processes in real-world environments.
The Role of the Community and Reward System
The application’s use will be aimed at collecting and processing empirical data necessary for improving computer vision algorithms. As a reward for active participation, users will receive a portion of the startup’s total token emission (supply).
Key principles of the system’s operation:
No hidden fees, donations, or in-app purchases. Rewards are based on real contributions to data processing.
The community plays an active role in algorithm development by creating training datasets to refine the model.
Thus, participants not only interact with the digital system but also contribute to its growth, receiving confirmed economic rewards in the form of tokens for their efforts.
Funding and Investment Model
The development and operation of the platform are funded by institutional and private investors supporting the advancement of computer vision technologies. This allows the project to forgo traditional commercial monetization mechanisms (in-app payments) and focus on its research and technological components.
Additionally, a token emission is planned, the launch of which will mark a new stage in the platform’s development. It will enable retail investors to participate in the startup’s growth, creating a sustainable economic model for financing innovative developments in artificial intelligence.
Conclusion
This project is not just software for interacting with artificial intelligence but a tool for generating new data that drives progress in computer vision.
Key aspects:
- User activity leads to tangible improvements in machine learning technologies.
- Token rewards incentivize participation and affirm the value of each user’s contribution.
- Funding is secured through institutional investments, while the token launch will create an additional mechanism for attracting funds from retail investors.
Final details of the platform’s launch will be published in the near future.