Mykhailo is a skilled expert in image and video annotation with years of experience in secure data annotation for AI.
Mykhailo’s expertise in image and video annotation and secure data annotation for AI makes him an invaluable asset for any machine learning project. He is passionate about his work and is committed to delivering accurate and high-quality annotations. With his experience in CVAT annotation tool, he can help expedite the annotation process, saving time and money for clients.
Secure and Accurate Image and Video Annotation for AI
Mykhailo has been using specialized Computer Vision Annotation Tools (CVAT) for data annotation and has gained expertise in the following areas:
Image and Video Annotation
Mykhailo has hands-on experience in annotating images and videos with various annotation techniques like bounding box, polygon, semantic segmentation, and classification. He ensures that the annotations are accurate and consistent, which helps in training efficient machine learning models.
He has also worked on object tracking projects where he annotates the movement of objects in a sequence of frames. This helps in analyzing the behavior of objects and predicting their future movements.
Mykhailo is skilled in annotating facial recognition datasets. He uses advanced techniques to annotate various facial features like eyes, nose, mouth, and ears to enable the machine learning models to recognize faces accurately.
Mykhailo has experience in annotating medical imaging datasets like X-rays, MRIs, and CT scans. He ensures that the sensitive medical data is handled securely and the annotations are accurate, which helps in the diagnosis of medical conditions.
Secure Data Annotation
Mykhailo has expertise in handling and annotating sensitive data. He follows industry-standard security protocols and ensures that the data is not compromised in any way.
CVAT Annotation Tool
Mykhailo has extensive experience in using the specialized CVAT tool for data annotation. He is skilled in creating custom annotation interfaces, automating annotation processes, and ensuring the quality of annotations.
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