Object Masking and Segmentation
Annotated and masked objects within images to support image editing and segmentation AI models. Tasks included accurately outlining objects and creating masks used for training computer vision systems.
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I have experience working on AI training and data annotation projects across multiple modalities including audio, images, video, and text. My work focuses on producing accurate and high-quality labeled datasets that help improve machine learning and computer vision models. I have completed tasks such as speech-to-text transcription, audio evaluation, image comparison, OCR text recognition, dense UI annotation, video tracking, and object masking. I am detail-oriented and follow strict annotation guidelines to ensure precise labeling and consistent training data for AI systems.
Annotated and masked objects within images to support image editing and segmentation AI models. Tasks included accurately outlining objects and creating masks used for training computer vision systems.
Annotated and extracted text from images using OCR labeling techniques. The task involved identifying characters and text regions within images to support document understanding and text recognition AI models.
Performed image comparison tasks to identify visual differences between images and annotate relevant features. The work supported computer vision models in learning visual patterns and object relationships.
Evaluated AI-generated audio by comparing it with reference speech samples. Assessed pronunciation accuracy, clarity, naturalness, and language consistency to help improve text-to-speech models.
Transcribed spoken audio into accurate written text following strict transcription guidelines. The work included spontaneous speech with pauses, filler words, and natural conversational structure. The annotations were used to train and improve speech recognition models for AI systems.
Bachelor of Science, Agriculture
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