Shruthi M N

Data Annotator with over 3+years of experience in accurately labeling and annotating large data sets for machine learning purposes. Expertise in Data Annotation types of Semantic Segmentation, Lidar, Object Detection, Traffic Functions. Demonstrated ability to provide high-quality annotations and offer valuable feedback, resulting in enhanced model training efficiency.

• Have Successfully Completed Training In Python, Machine Learning.
• Internship on explore to hardware and software domain-BHEL.
• Workshop on ARM Cortex-M3 Controller-VKIT College Bangalore.

Khanazawa: is a 3D Project in which the objects are identified and Labeled by LIDAR points and give inputs to the Ego car, tool used is Understand.ai(UAI).

Continental: is a image labeling project in which all the objects in the image should be labeled and for every object hierarchy should be set, I have handled 6 members team, tool used is CANVAS. 

Luxor: is a 3D and 2D project where I have done both labeling and Quality Checking, tool used is UAI. 

Playment: is a 3D and 2D project in which objects are labeled with the help of LIDAR's, tool used is Playment. 

Eternal: is a 3D and 2D project in which objects are labeled with the help of LIDAR's, tool used is UAI.

Arriver: is a 3D and 2D project in which objects labeled in 3D are then projected to 2D and has multiple attributes need to be set after in 2D and mark the key points. Tool used is UAI. 

BMW: is a 3D and 2D project in which objects labeled in 3D and has multiple attributes need to be set. Tool used is Annotate AI. 

Hereby declare that all the information provided by me in this resume is true and correct to the best of my knowledge and belief.

                                                                                                                       Shruthi M N