WorkingHistory

We designed the DATASTUDIO tool to assist with data gathering, annotation, and augmentation chores for those who have incomplete data and need help taking it from "not quite" to "let's go!" DATASTUDIO will access the highest-quality annotation of picture and video data for complex models. Ideal for computer vision models, sentiment analysis, entity linking, and syntactic parsing and tagging. Our tools enable you to annotate your photos and videos faster, smarter, and better by providing a comprehensive collection of capabilities to equip your computer vision labeling tasks. The Raderon Lab DATASTUDIO Tool is intended to increase productivity and scale. Connect to many sources, apply filters, and build project-specific data subsets. Set up labels for your dataset. Choose from multi-selection types such as rectangle and polygon, and finally, export labeled data to the format you require, such as CSV, COCO, Pascal VOC, YOLO, etc. As Software Development, This project is based on C# ASP.NET SQL Server and WPF for local usage. -Image Gathering: Gather raw data for augmentation and annotation activities. -Image Augmentation: Image augmentation is changing or "augmenting" a dataset with new information. -Image Annotation: Training data is required to construct an AI or ML model that performs like a human. A model must be trained to grasp specific information to make judgments and take action. Annotating data for AI applications is the process of categorizing and labeling data. Each use case of training data requires classification and annotation. Businesses can design and improve AI solutions with high-quality, human-powered data annotation. Image annotation is critical for many applications, including computer vision, robotic vision, facial recognition, and machine learning systems. To provide this information, metadata must be added to each photograph, such as identifiers, captions, or keywords.