Data Collection
Building a Large-Scale Image Dataset for AI Training
The Challenge
A leading Chinese technology enterprise needed to quickly build a large-scale, high-quality real-image dataset for multimodal model development. Its goal was to collect and edit up to one million authentic images without any AI-generated content or prior edits, while meeting strict requirements for diversity and accuracy. The dataset also had to balance both single-round and multi-round editing scenarios, with instructions ranging from object addition and deletion to changes in color, material, and shape. The collection, editing, and quality inspection had to be completed within 60 days.
• • • •The Solution• • • •
DataForce assembled a cross-functional expert team to design and execute a highly efficient process. Leveraging our global network of specialized contributors, the team matched advanced photography and annotation talent to the project. Key steps included:
- Task Management: Dividing editing tasks into smaller groups to balance single-round and multi-round scenarios while preserving instruction diversity.
- Quality Assurance: Embedding rigorous quality checks at every stage, including inspections, sampling, and rework, to ensure each batch met a pass rate of at least 95%.
- Process Efficiency: Developing custom tools to handle multiple instructions seamlessly and improve overall efficiency.
- Data Security: Enforcing strict compliance and security protocols to mitigate risk and ensure all data met standards.
Results
Within the 60-day time frame, DataForce successfully delivered a one-million-image dataset that met every requirement. Outcomes included:
- A 95% pass rate, ensuring immediate usability for model training
- A 40% improvement in delivery efficiency compared to traditional workflows
- A scalable framework for future multimodal dataset production, advancing the client’s AI innovation pipeline
DataForce has a global community of over 1,000,000 members from around the globe and linguistic experts in over 250 languages. DataForce is its own platform but can also use client or third-party tools. This way, your data is always under control.