Data Annotation and Labelling
We segment and annotate the data which feeds into and empowers client algorithms. Starting from text, image and video annotation to creating ground truth datasets for developing efficient machine learning models, we streamline people and quality processes for the extraction of structured insights from massive volumes of unstructured data.
Some of the various Data Annotation work we do:
Case Study 1: Boundary Boxing
This activity involves drawing a box around an image or object which has been provided.
CASE STUDY 2: Image Decisions
This activity involves making a decision on whether the question asked is applicable for the shown image or not. The answers are pre-defined and the worker needs to select the correct answer
CASE STUDY 3: Video Decisions
VIDEO DECISION OUTPUT
The activity involves making a decision on whether the question asked is applicable for the shown video or not. The answers are pre-defined and the worker needs to select the correct answer.
CASE STUDY 4: Face Detection
Face Detection output
This activity requires identification of all texts in a presented image, and drawing of boxes around the same.
CASE STUDY 5: Text Annotation
This activity requires identification of all texts in a presented image, and drawing of boxes around the same.
TEXT ANNOTATION OUTPUT
CASE STUDY 6: Person Tracking
This job requires a box to be drawn around every person who is seen in a given video. Each frame in the video needs to be checked for such a person and a box needs to be drawn.
PERSON TRACKING OUTPUT
CASE STUDY 7 : Celebrity Recognition
This activity helps in identifying a celebrity from a solo or group picture or video.