Get all your annotation requirements done for just $3.5/hr.
Try our
free demo services Now
We help you prepare a wide range
of datasets for training and validating autonomous vehicles. We have worked with a Fortune 10* company in the use case for around 2.5 years with a team of around 110 annotators. Know
more regarding the types of
annotation we do.
(*Disclosure of client details are strictly limited due to sitting NDA’s)
We annotate objects like vehicles, pedestrians, etc. in an image using various annotation techniques to enable object detection in autonomous vehicles.
We localize and extract number plate information from vehicular images using bounding box technique.
Signboards and traffic lights are crucial for autonomous vehicles. We annotate these semaphores accurately using bounding boxes.
With polyline annotation, we draw lines and splines over lanes & sidewalks for enabling lane differentiation in autonomous vehicles.
Autonomous vehicles have in-cabin cameras for monitoring driver’s movement and activities like a distraction, drowsiness, emotion, head/eye gaze, etc. For over 8 months our annotators team have labeled in-cabin images using diverse annotation techniques.
Computer vision in ADAS and Autonomous vehicles require handling of sensors like radar and LiDAR. We annotate sensor data, especially LiDAR data using various techniques.
We annotate road signs, pedestrians and adjacent vehicles to enable computer vision in ADAS applications like road sign detection, pedestrian detection, collision warning and parking assistance.
We annotate vehicles, pedestrians, etc. from a video and track the same object in every frame of the video.
ISO 27001:2013 Certified | ISO 9001:2015 | © 2023 INFOLKS