Introduction
An image background remover powered by blockchain community
Background
Image Background Remover is an essential tool. Users use it to extract elements from existing images and then combine them with other elements to create new images. Google Trends shows that the demand for this tool is still on the rise.
The business model for this service is as follows: service providers offer better productivity tools, and users are willing to pay for them to improve work efficiency. In addition to end customers, other image creation tools also need to purchase API quotas to integrate this capability, ensuring their competitiveness in the market.
More specifically, assuming a user uploads an image with a resolution of 3000x4500, our system will perform background removal on the image and return a low-resolution result (with a maximum resolution of 250k pixels, for example, 500x500) as well as the result at the original resolution. Users can download the low-resolution result for free, but downloading the original resolution result requires payment. Each download consumes 1 credit. Each credit costs between $0.06 and $0.50, with the price decreasing for bulk purchases.
What to do
The vision of the bgless project: to provide a high-performance, cost-effective solution for removing image backgrounds.
How to Achieve It:
The dev team collaborates with the community to leverage the strengths of all participants and drive the project forward. Specifically:
- The dev team is responsible for:
- Developing sample annotation tools
- Training AI algorithm models
- Developing website and API services
- Construnct high-performance computing clusters
- The community is responsible for:
- Annotating training samples for the model
- Marketing and promotion
To better manage the project and strengthen the connection between the dev team and the community, we will introduce blockchain-based tokenomics for this project:
- Using trading fee revenue to fund the high-performance computing clusters required for the project.
- Rewarding contributors who annotate training samples with tokens.
- Rewarding effective promotion efforts with tokens.
- 50% of website and API service revenue will be used to buy back tokens, while the remaining 50% will fund project operations, including developer salaries and the expansion of high-performance computing clusters.
