Investment
Co-one reaches valuation of €4.2 M and receives investment.
Co-one, an Estonian start-up founded in 2021, has completed a successful seed investment round, led…
January 24, 2023
1 min read
Build efficient Agriculture solutions
We help you maintain reliable agriculture observation systems.
Training Data for Agriculture
Co-one supports multiple data annotation types for your AI-Agriculture cases.
Bounding Box
Crop & Pest detection with rectangular coordinates.
Segmentation
Masking entire video frame for full comprehension.
Polygons
Crop detection with fully masked coordinates.
Polylines
Landscape area detection.
Classification
Detect diseases and asses ripeness.
Cuboids
Making 3D understanding of detection objects.
ACHIEVE EFFICIENT AGRICULTURE
Make your AI Fully Understand the agri activities.
Processing huge datasets, understanding crop growth, diseases is a headache for many. We actually love it!
Active Annotation Tracking
See the annotations live, react and give feedback.
Fast Daily Annotations
You will get min. 5K/day annotations.
Path to Successful Computer Vision Model
We help AI teams to build production ready Computer Vision models with high quality, unbiased data annotations.
1
Computer Vision Project Creation
Build your CV data annotation project, and define requirements.
2
Annotation Guideline Creation
Upload your sample data and perform sample annotations. So that, we know how the high quality looks.
3
Track Your Annotations Live
Be an active part of data annotations. Track class distributions, see uncertainties, and provide feedback.
4
Feed Your AI Model.
Export or import annotations into your model training environment. Datalaoders and TFRecords are already provided.
Computer Vision Data Labeling MLOps Platform
Active Review
You can watch the annotations live, give feedback and edit.
Helping AI teams to grow for better.
We help AI world to build the most serious, high quality AI products.
