Although LHI is a nonprofit organization (see about us), we do charge a small amount of money on data request outside the scope of "free data". It is well recognized that fine supervised data annotation is a kind of labor-intensive work which requires a group of well-trained professional labelers. LHI has invested over 1million RMB on coaching our labeler team as well as the related technical support and team management. The fee charged will be mainly used to maintain the labelers' team. The extra part will be employed in enlarging database so as to supply more high-quality service for all computer vision society. As the database grows continuously, more free data will be released for academic purpose.
IP provides three levels of service:
Free data is provided as a service to the research community. Nominal fees are charged for standard or customized data in order to support the cost of running our labeling team.
Price of customized data varies depending on the complexity of videos/images and the labeling requirements you provide.
Process for ordering standard data:
1. The minimum order is $1000. There is a 5% discount for orders more than $10k and a 10% discount for orders more than $40k.
2. Client signs an agreement for the data requirements and time schedule and places a deposit with IP.
3. IP prepares the data and then sends the data to client as scheduled in the agreement. IP guarantees the quality of the data and will replace any deficient data.
1. Client gives us specific labeling requirements, and IP provides five or so examples to insure the requirements are well understood.
2. IP gives a quote, a minimum order of $5000. There is a 5% discount for orders more than $10k and a 10% discount for orders more than $40k.
3. Client signs an agreement for the data requirements and time schedule and places a deposit with IP.
4. IP prepares the data and then sends the data to client as scheduled in the agreement. IP guarantees the quality of the data and will replace any deficient data.
Is data worth paying for?
Experimental data is very important:
① Data is like the foundation of a house,
② Projects go more smoothly with professionally prepared data,
IP has the tools and expertise to provide you with high-quality data for your research, saving you valuable time on your projects.