Football Player Detection and Segmentation
focuses on detecting and segmenting football (soccer) players in match scenarios for computer vision applications such as player tracking, tactical analysis, and sports analytics.
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Aspiring AI Data Annotator bringing a strong analytical foundation from a B.S. in Physics at Institut Teknologi Bandung (ITB). I am currently focused on developing proficiency in multimodal data annotation, applying academic discipline to projects involving text classification, visual analysis, and audio transcription. My academic background ensures high rigor in following complex, technical guidelines for quality and consistency. My practical training includes self-directed LLM Evaluation (simulated RLHF) involving the qualitative classification and ranking of text prompts, demonstrating strong critical thinking and rationale justification skills.
focuses on detecting and segmenting football (soccer) players in match scenarios for computer vision applications such as player tracking, tactical analysis, and sports analytics.
This project develops a medical-grade dataset for dermatological AI applications, focusing on precise segmentation of skin conditions for diagnostic support systems.
Bachelor of Science, Physics
Abraham H. hasn’t added any Work History to their OpenTrain profile yet.