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Toloka
Telus
Scale AINo subject matter listed
Audio
Image
Text
Bounding Box
Classification
Data Collection
Evaluation/Rating
Question AnsweringMy three years of professional experience focus on high-quality data annotation and labeling, which is the critical process of transforming raw data into structured datasets for training AI and machine learning models. 3 Years Expertise: Data Annotation and Labeling (Summary) My three years of professional experience focus on high-quality data annotation and labeling, which is the critical process of transforming raw data into structured datasets for training AI and machine learning models. My expertise is divided into two key areas: 1. Image and Video Labeling I am highly proficient in various computer vision labeling techniques crucial for object detection and recognition: Bounding Box Annotation: Accurately localizing objects for object detection. Polygonal and Semantic Segmentation: Precisely outlining complex shapes and classifying every pixel (e.g., for autonomous vehicles). Keypoint Annotation: Placing landmarks on specific features (e.g., facial recognition, motion tracking). 2. Data Categorization and Classification I excel at the cognitive task of assigning correct labels based on complex rules: Content Tagging: Categorizing data (images, text) using intricate, multi-level taxonomies (e.g., product details, content moderation). Hierarchical Labeling: Ensuring data is classified at the appropriate level of detail.
Evaluation of images to ensure that the images produced by Ai contain similar qualities as the original image or subject image
Shadrack M. hasn’t added any Education History to their OpenTrain profile yet.
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