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Roboflow
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Audio
Image
Bounding Box
TranscriptionI have experience working on multiple AI training and data labeling projects across different data types. In the Aether project, I worked on transcript annotation and labeling of recorded audio data, ensuring accuracy and consistency for AI model training. I also contributed to Scilenso AI, where I reviewed and analyzed text data to support the development and improvement of AI language models. Additionally, I worked on image annotation projects using Roboflow, where I performed bounding box labeling for road infrastructure datasets, including cracks and potholes. These projects required attention to detail, adherence to annotation guidelines, and maintaining high-quality labeled data to support computer vision model training and evaluation.
ImageBounding BoxAnnotated road images by creating bounding boxes around defects such as cracks and potholes. Produced high-quality labeled datasets used for training computer vision models for automated road condition assessment and defect detection.
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Text GenerationReviewed and labeled text data to support the training and evaluation of AI language models. Focused on data quality, consistency, and compliance with project-specific annotation requirements.
AudioTranscriptionAnnotated and reviewed transcript data from recorded audio to improve the accuracy and quality of speech recognition and AI language models. Ensured adherence to annotation guidelines and maintained high-quality labeled datasets.
Degree not specified
Road images' annotation using bounding box
