Working with Co-one has been an extremely fast work experience. With the Intent Sentence Generation project, different sentences and unique examples were provided to our dataset in terms of content. As a result, our data set turned into a very high quality and rich content.

Accessing high-quality and swift data is critical for an AI model to learn and adapt effectively. Co-one has enabled us to achieve this seamlessly. Their meticulous approach to collecting and processing video data, accurately annotating yoga poses using key-point data labeling, and extending data classification services, has been pivotal in training our AI model and enhancing its capability to generate personalized yoga flows. Co-one has proven to be more than just a service provider. They have been a strategic partner, contributing to the success of our AI engine and ultimately, to the wellness journey of our users.

Polyline annotation for lane detection is essential for autonomous vehicles to stay safely between lanes. The lanes on the road were labeled with high accuracy thanks to the "polylines" image annotation service provided by Co-one. Co-one's data labeling contribution helps Eatron to develop intelligent motion software efficiently.

Co-one provided intent generation and text classification to help Etiya build better-working chatbot solutions. The data labeled by Co-one as a result of the test sets (not seen by training) has given an accuracy rate of up to 91%.

A fast and high quality work was carried out. It has enabled us to save staff time and therefore our costs. Since data labeling is completed at a rate that we cannot do within the company, we will be able to deliver projects to our customers in a shorter time, thus, our reputation with the customer will be positively affected.

The project guideline created by Co-one was explained with examples and was very understandable. The report sent to us at the end of the project was very useful in terms of the project process and numerical data. Our questions were answered immediately and solutions were produced. The process progressed very quickly. Ultimately, all our needs were met by Co-one's data solutions.

Correct labeling in artificial intelligence models significantly affects the accuracy of the models. At Udentify, we do a lot of object detection tagging. In order to make these labels, we developed our own labeling tools and established a labeling team. Then we met Co-one and we dissolved our tagging team. Because when we saw the labels made by Co-one, we realized that we couldn’t label correctly before. The drawn boxes (bounding boxes) were complete and flawless, which greatly affects the accuracy rates. They fully complied with the predetermined labeling rules. In addition, although we do not need a lot of labeling in a very short time, we have not experienced any delays in delivering the labeling so far. Thank you Co-one team.

Our existing deep learning model needed to be retrained with new data that the model had never seen before. The accuracy of the labels was the most important factor for us, and thanks to the strong communication of the Co-one team, we got our labels without any problems. On the other hand, being able to handle a process that would take 2 weeks in 1-2 days accelerated our work a lot. We can now get results with an accuracy rate of over 90% in examples where we could not get results before the training.

Our partnership with Co-one was transformative. They displayed exceptional professionalism in enhancing our product filtering system. From their rigorous planning and precise annotation of 8,000 products to their thorough quality assurance, Co-one exceeded our expectations. Their in-depth Dataset Analysis provided valuable insights that have since improved our platform's user experience. Thanks to Co-one, our customers now navigate our site with greater ease. We highly recommend Co-one for data annotation needs – a truly reliable and efficient partner!

The work was appropriate and very meticulous. In fact, it has been worked so carefully that even a contribution has been made to our wishes. We were informed at every stage of the work, the communication was very good. All our question marks about data quality have been cleared. As a result of this meticulous work, we have achieved a high quality output.