Computer Vision
Classification and tagging of visual content, such as images, in order to group them together as a data set. Use computer vision model to process and recognize visual content to predict outcomes.
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An expert in Data Labeling and AI Training Experience who successfully conducted the following operations: Multimodal data annotation: Accurately label and tag data, including images and text, following provided guidelines. Multiple-choice question generation: Create clear and high-quality questions for educational or AI training purposes. Quality assurance: Review and verify your annotations to ensure consistency and correctness across datasets. Data processing: Handle large volumes of data, ensuring tasks are completed within project deadlines while maintaining high attention to detail.
Classification and tagging of visual content, such as images, in order to group them together as a data set. Use computer vision model to process and recognize visual content to predict outcomes.
Convert sounds into written text. Transcribe, categorize and tag audio recordings, which can be used as a training data to train a machine-learning model to recognize audio patterns. Listen to audio in French and transcribe it in English according to rules of translation and proper grammar. Label the words used to translate and appropriate it, and leave a note for reviewer.
Bachelor's Degree, Mathematics
Math Professor
Data Annotator