Freelancer Overview
I have 1-2 years of experience in image capturing and labeling projects across diverse domains including automobiles, fashion, and furniture, as well as CRM data. My work involved bounding box annotation, polygon annotation, semantic segmentation, image classification. I am familiar with specific annotation software, image editing software. The projects involved processing thousands, tens of thousands of images. Successfully achieved 95% inter-annotator agreement on the automobile dataset, Overcame challenges in consistently labeling subtle variations in fabric texture in the fashion dataset.
video labeling
Video Labeling Expertise
As a seasoned data annotation professional, I possess extensive experience in video labeling, having worked on various projects involving object detection, action recognition, event detection, and tracking.
Key Experience
1. Object Detection: Labeled objects in videos, including people, cars, animals, and other entities, to train models for object detection tasks.
2. Action Recognition: Annotated actions in videos, such as running, jumping, dancing, and other activities, to train models for action recognition tasks.
3. Event Detection: Identified and labeled events in videos, including accidents, goals, celebrations, and other notable occurrences, to train models for event detection tasks.
4. Tracking: Labeled objects or people in videos to track their movement and behavior, enabling the development of tracking models.
Image
Bounding Box
Polygon