Aya Data
We offer our full stream suite of services to power AI from highly accurate data annotation on videos, texts, and audio data sets, to natural language processing and data processing services ||
02/05/2022
Our image segmentation tool makes it easy to identify and label objects within images, making them ready for your machine learning training data set.
Visit https://ayadata.ai/ or call us at +44-33-377-21194 and book your free consultation.
28/04/2022
At Aya Data, we help companies train their AI with accurate datasets. We're in a new era of technology—and we want to make sure everyone gets to benefit from it
To know more about artificial intelligence, training datasets and how it can boost your workflow, visit https://ayadata.ai/ or call us at +44-33-377-21194 and book your free consultation.
25/04/2022
Aya Data is currently working with clients in the AgTech, Retail, Healthcare, Manufacturing and Logistics industries to create machine learning projects, helping to make their ML operations more efficient and productive.
Check https://ayadata.ai/ to learn more.
18/04/2022
What is LIDAR?
LIDAR is an acronym for Light Detection and Ranging. It is a remote sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. These light pulses—combined with other data recorded by the airborne system— generate precise, three-dimensional information about the shape of the Earth and its surface characteristics.
LIDAR datasets have been used by Aya Data in cutting-edge scientific and commercial contexts where understanding the world from above is a priority - this is one of the most difficult types of data labeling and annotation. Our LIDAR labeling services make use of the most cutting-edge LIDAR instruments as well as the combined expertise of our LIDAR labeling experts.
Got projects involving LIDAR datasets? Talk to our experts here in AyaData by visiting our site, https://ayadata.ai/ or call us at 44-33-377-21194 to book for a free consultation.
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| Monday | 08:00 - 17:00 |
| Tuesday | 08:00 - 17:00 |
| Wednesday | 08:00 - 17:00 |
| Thursday | 08:00 - 17:00 |
| Friday | 08:00 - 17:00 |