A Topnotch Data Labeling and Annotation Service with the Right Process for Computer Vision

We understand the important of data labeling to develop and successful machine learning model. Hence, we provide the most feasible data labeling platform for AI companies to utilize the power of automation with AI.

How Data Labeling Process Works at Cogito?

1
Consulting the Project Manager
2
Discussing the Guidelines
3
Define Project Goals
4
Development & Testing
5
Feedback of Client
6
Data Labeling Process
7
Quality Check & Sampling
8
Final Delivery of Data Sets

Consulting the Project Manager

Consulting the Project Manager

Each data labeling project is assigned to a dedicated project manager to work with the client and solve their data labeling needs.

Discussing the Guidelines

Discussing the Guidelines

Here we have a discussion with client about the data labeling instructions, to better understand the actual desired output. As each project is different and this phase is important for us to discuss labeling scope and potentials with us.

define project goals

Define Project Goals

According to the projects feasibility, Cogito defines the project goals, timelines, quality benchmarks and success parameters to create the ground truth labeling technique for each project and get the most desirable results at lowest cost.

Development Testing

Development & Testing

At this stage we use sample annotated data to test the project that helps us to quickly adjust the parameters and guidelines of project before processing the data annotation at full-fledged level.

Feedback of Client

Cogito provide some results as a sample to client from the project iteration process and we improve if any changes required. And once the sample is approved by the client, we start the data labeling production rapidly.

Data Labeling Process

Data Labeling Process

After sample approval the production phase of data labeling take place as per the final project specification and needs.

Quality Check & Sampling

Quality Check & Sampling

Meanwhile known as one of the best data labeling companies, our QC keeps checking the quality of annotated data, if any correction required, re-annotated to ensure the quality.

Final Delivery of Data Sets

Final Delivery of Data Sets

After labelling data for machine learning completed, our project manager’s packages and process the final delivery of project to client as per the data specification requirements.

Data Labeling at Cogito Compliant with International Data Security Standards

The data labeling process at Cogito goes through all the international data security standards to comply GDPR, CCPA and SOC2 Type 1 certifications. And while complying all these data security standards Cogito is committed to process, label or annotate all types of the data in a highly secured and encrypted environment delivering the clients a trust along with quality ensuring they can develop a feasible AI solution without any data security breach or privacy risk.

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