About Annotator

Marija is a Data Annotation Machine Learning Specialist with over two years of experience working as a data annotator in a robotics manufacturing company. Her primary role is to develop machine learning models that can identify and classify data accurately and efficiently. She is highly proficient in using various data annotation techniques such as natural language processing, text annotation, image annotation and audio annotation. She also has experience in developing deep learning algorithms for data annotation.

Marija has a strong understanding of the various machine learning techniques and technologies such as supervised learning, unsupervised learning, reinforcement learning and transfer learning. She is also well-versed in data pre-processing, data cleaning and data wrangling. Her expertise lies in finding the right features of the data to make the machine learning model more effective.

Data Annotation Machine Learning Specialist with Expertise in Image, Video, Audio, and Text Labeling

Marija developed expertise in different areas of data annotation, including Image Annotation, Video Annotation, Audio Annotation, and Text Semantic Analysis.

Image Annotation

Marija is skilled in image annotation, which is essential for object recognition and detection in machine learning models. She has experience with different types of image annotation techniques, including bounding box annotation, semantic segmentation, and landmark annotation. Marija is also proficient in using various image annotation tools, such as Labelbox, RectLabel, and CVAT.

Video Annotation

Marija has expertise in video annotation, which is used in the development of machine learning models for video analysis. She is skilled in various types of video annotation techniques, including action recognition, object tracking, and event detection. Marija has experience in using video annotation tools such as Labelbox, CVAT, and VGG Image Annotator (VIA).

Audio Annotation

Marija has knowledge of audio annotation, which is used for sound recognition in machine learning models. She is skilled in different types of audio annotation techniques, including speaker identification, speech-to-text transcription, and emotion recognition. Marija has experience in using audio annotation tools such as Labelbox and Audacity.

Text Semantic Analysis

Marija has expertise in text semantic analysis, which involves the extraction of meaning and context from natural language text data. She is skilled in different types of text annotation techniques, including named entity recognition, sentiment analysis, and text classification. Marija has experience in using text annotation tools such as Prodigy, Doccano, and Brat.

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