Blue River Technology needed to rapidly scale and optimize their computer vision model development pipeline and decrease their iteration cycles — which often took several weeks — to deliver superior AI-powered products. Two of the primary causes of delay in their processes were data management infrastructure that was created and maintained by ML engineers and an arduous data curation process that took longer and became more painful as the amount of data increased.
To accelerate iteration, the team built a unified machine learning and data engine that leverages embedded integrations with best-in-class data storage and management, data curation, and labeling solutions. As a result, their iteration cycle was significantly shortened, and engineering hours were freed for increased focus on model development.
Build computer vision faster with advanced data curation, model-assisted pre-labeling, and streamlined workflows that fuse AI capabilities with human expertise.
Cut data labeling times in half with model-assisted labeling workflows. Combine human-in-the-loop expertise with active learning. Deploy powerful automation rules to prepare datasets in minutes instead of hours.
Find the “needle in the haystack” data elements in minutes with advanced data curation capabilities that include vector and similarity searches, as well as automated labeling rules. Train precise models with ultra-accurate datasets.
Conduct powerful error analysis to surface model errors, diagnose root causes, and fix them with targeted improvements to your training data.
Accelerate data curation and mine edge cases by pre-labeling and enriching images and videos using state-of-the-art AI models such as Segment Anything, BLIP, or YOLOv8. Quickly extract insights and achieve remarkable performance across classification, object detection, and segmentation use cases.