About
Dataforest developed a solution that parses, processes, and collects images from Instagram. Each photo is processed and labeled with various tags like “blonde” or “curly hair”. The system is fully automated and runs the collecting as set by users. The high-tech model of image recognition provides only correct labeling without doubles, while the solution with an intuitive interface is easy for urther interaction with photos.
Challenge, approach, and impact
Manual image collection and labeling
The client collected and selected suitable images manually. Photos were sorted and labeled by hand, which required significant time and effort, was ineffective at scale, and limited the speed of creating image selections.
How we built
Testimonials
Anonymous
“Working on this project, we built a fully automated image collection and labeling system that replaced manual workflows. The solution reliably processes large volumes of images, applies accurate tags without duplicates, and supports look-a-like search using a vector database. As a result, content selection became faster, more consistent, and significantly easier to manage.“
Team structure
Client team
Anonymous
Product Owner
Project stakeholder
The client stakeholders were working closely with the team at Dataforest
Agency team
2 x Backend Developer
Production
1 x Machine Learning Engineer
Production
2 x Data Engineer
Production
2 x Product Manager
Production
