Andriy is an experienced picture annotator who specializes in image classification, bounding boxes, semantic segmentation, polygon annotation, and key-point annotation. He is proficient in using various annotation tools such as CVAT, Labelbox, and Blender annotation tools to deliver accurate and high-quality results to his clients.
He creates labeled datasets for machine learning models to accurately identify objects in images and provides detailed information about object size, shape, location, and orientation. With his skills, Andriy can help deliver accurate image labeling for machine learning models.
Experienced Picture Annotator for Accurate Image Labeling
- Classifying images based on specific criteria, such as object recognition, image labeling, or image tagging
- Creating labeled datasets for machine learning models to identify objects in images accurately
- Leveraging computer vision techniques to recognize and classify objects in images
- Drawing and annotating bounding boxes around objects of interest in images
- Providing detailed information about object size, shape, and location in the image
- Ensuring that bounding boxes are accurate, consistent, and properly labeled
- Segmenting images into different regions based on semantic information, such as object boundaries or color regions
- Providing pixel-level annotations to accurately define the boundaries of objects in images
- Creating labeled datasets for training machine learning models in image segmentation tasks
- Drawing and annotating polygons around objects of interest in images
- Providing detailed information about object shape and location
- Ensuring that polygon annotations are accurate, consistent, and properly labeled
- Identifying and labeling specific key-points on objects in images, such as joints in human body images
- Providing detailed information about the location and orientation of key-points
- Creating labeled datasets for training machine learning models in key-point detection tasks
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