Challenge
In fruit cultivation, identifying and counting blossoms plays a pivotal role in predicting yields.
Brainjar, partnering with pcfruit, embarked on a journey to meticulously label an astounding 144,297 blueberry blossoms from 196 images.
Given the intricacy of the blossoms and the sheer volume of data, the dual challenge of cost-efficiency and accuracy was large.
Solution
Brainjar chose Segments.ai for its data annotation requirements. The platform’s intelligent labeling tools, such as Superpixel and Autosegment technology, ensured rapid and precise marking of objects.
By integrating their AI model with the already labeled data, Brainjar could upload model predictions back into Segments.ai, reviewing and correcting these into perfectly labeled data.
The combination of ML-assisted annotation with Segments.ai’s annotation services guarantees maximum annotation quality, blending the best of machine precision with human judgment.
Brainjar at a glance
Benefits
Faster labeling with ML-assisted tools
Model assisted labeling
Manage an external labeling team
Human expertise
We dove into the wonderful world of ML-assisted annotation and chose Segments.ai, a specialized software, as our annotation tool.
Tom Vermeulen
Co-founder
Brainjar
