About Annotator
Iryna is an experienced video labeler with over three years of experience in object detection, anomaly detection, predictive maintenance, yield estimations, bounding boxes, polygons, semantic segmentation, polylines and cloud points. She is proficient in Spanish and has worked with a range of annotation tools including LabelBox, Blender (3d annotation), V7labs and Dataloop.
Iryna has worked on numerous projects involving object detection, anomaly detection, and predictive maintenance. She has a deep understanding of the various processes involved in these projects, such as image segmentation, feature extraction, and data labeling. She is skilled at creating and managing high-quality datasets for training and testing models.
Experience in Object Detection, Anomaly Detection & More
Object Detection
Iryna has extensive experience in detecting and classifying objects in images and videos. She is proficient in using advanced algorithms such as SVM, CNN, and YOLO to perform object detection tasks.
Anomaly Detection
She is well-versed in using deep learning algorithms for detecting anomalies in images and videos. She is skilled in using anomaly detection frameworks such as LSTMs, Autoencoders, and GANs.
Predictive Maintenance
She is experienced in applying predictive models to identify potential failures and reduce maintenance costs. She is proficient in utilizing various machine learning algorithms such as clustering, regression, and classification.
Yield Estimations
She is experienced in building models to predict crop yields. She is proficient in using various supervised and unsupervised learning algorithms.
Bounding Boxes
She is experienced in creating and labeling bounding boxes for objects in images and videos. She is adept in using annotation tools such as LabelBox, Blender (3d annotation), V7labs, and Dataloop.
Polygons Annotation
She is experienced in creating and labeling polygons and polylines for objects in images and videos. She is proficient in using annotation tools such as LabelBox and Blender (3d annotation).
Semantic Segmentation
She is well-versed in using deep learning algorithms for semantic segmentation of images and videos. She is skilled in using segmentation frameworks such as Fully Convolutional Networks and U-Net.
Cloud Points
She is experienced in labeling cloud points for objects in images and videos.
Hire Iryna for your video labeling projects and get the best results. Contact us today for a free consultation.
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