A well-developed Computer Vision model requires training based on thousands of previous images that must be correctly annotated. The task of annotating consists of framing and labeling the elements that appear in the images. The Computer Vision model, by learning from these images, will be able to detect these elements in other images where elements with similar characteristics appear.

At ASIMOB, nowadays we have Computer Vision models for capturing traffic signs, road markings and irregularities in the pavement thanks to these annotations made in a task that, without being very complex, is very arduous.

When we started training Computer Vision models we received various advice from experts, indicating that we should hire companies located in Asia and Africa, for image annotation. This is how big tech corporations do it. The reason for the suggestion of relocation of the service is very simple: it is a cost reason. Annotating is a matter of time, and the cost is priced in euros per minute of annotating or cents per annotation.

At ASIMOB, that way of doing things did not fit us. Did it make sense to relocate part of your development just for cost? Aren’t there people available for that kind of work in a society with high unemployment rates? We wanted to look for local alternatives… and we found it. The solution was given to us by APNABI Autismo Bizkaia. They promoted, through its Occupational Center of the social and labor area, a new way for the inclusion of people with Autism Spectrum Disorder (ASD). 10 people with ASD, previously working in manual works, considered interesting the proposed tasks and have been carrying out, since the beginning of 2020, the annotation tasks for ASIMOB.

Recently, this collaboration between APNABI and ASIMOB has been awarded the prize for Social Impact by the Telecommunication Engineering Association at TelekoGaua 2022. We have also presented the initiative at the company breakfasts that APNABI holds annually to publicize their projects.

We have been working with APNABI for more than two years and there will be many more, because we are convinced that technology with a local social impact can be developed.

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