Our client wanted to use AI to detect transit commuters from CC Camera footage (including fisheye lens) – their gender, posture, what they are carrying, whether they are wearing face masks, etc.

Our client wanted to annotate 3D microscopic images of nuclei of neurons (with segmentation) and trace the dendrites with 3D lines. They evaluated 7 different vendors for the project… and we are happy to say that we Abelling was chosen as the preferred workforce partner!

As part of a larger initiative for automating the maintenance of poles in Japan telephone grid, our client wanted to use computer vision to identify individual poles from their respective number plates.

Posture is super important when speeding down the icy slopes of the Alps! We helped our client recognize 25-point pose estimation skeletons of in-action athletes across thousands of frames captured from a variety of video clips.

As COVID-19 led to unprecedented uncertainty & chaos in the daily lives of billions around the globe, our client wanted to help Public Policy Makers, Governments and MNCS listen to what the masses were saying on social media regarding the pandemic – and the overall sentiment around the interventions which local authorities were taking in their respective geographies.

In 2022-23, a Dutch client tasked us with labeling over 1 million waste items across 15k+ images into 26 categories, including Paper, Metal, Plastic, and more, to enhance their AI model for sorting efficiency. Using Supervisely, our team in Bangladesh overcame the challenge of differentiating items in low-resolution photos, such as distinguishing non-cardboard paper and various other materials. Through meticulous training and dedication, we successfully delivered the project with high accuracy, marking another win for Abelling.

An exciting audio labeling project for a Swiss client. Our task was to categorize thousands of 5-second audio recordings from microphones attached to sheep shepherding dogs. With accuracy and speed, we processed over 13,000 clips, filtering out background noise and classifying sounds like barking and howling. This project showcases Abelling’s ability to handle unique and complex data labeling challenges. Another win for our dedicated team!