IRIS Lidar Cuboid and Anteater 3D TLR/TSR/OD5/Road Symbols
Video Annotation, 3D Cuboids and Object Labeling, Draw bounding boxes, identify and label objects within images (e.g., people, vehicles, animals, etc.).
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Work Experience: REMOTASK (Latam_ team Venezuela) 1. Image Annotation: Object Labeling: Identify and label objects within images (e.g., people, vehicles, animals, etc.). Draw bounding boxes: Place boxes around specific objects in images to help train computer vision models. Labeling key points: Mark specific points in images, such as the joint points of people or elements that are part of an object. Semantic segmentation: Labeling different regions within an image to classify specific areas (e.g., terrain, sky, buildings). 2. Video Annotation Tracking moving objects: Label objects across multiple frames in a video to train object tracking models. Tagging events or actions: Identify and mark specific actions that occur in a video (for example, a person raising a hand or a vehicle turning). 3. 3D Labeling 3D Cuboids: Create 3D labels to identify and mark objects in images and videos, using cuboids to represent the shape and position of objects in three-dimensional space. 3D Volume Recognition: Ensure that cuboids correctly label objects in the image or video, with a focus on 3D dimensions and orientation.
Video Annotation, 3D Cuboids and Object Labeling, Draw bounding boxes, identify and label objects within images (e.g., people, vehicles, animals, etc.).
Architect, Central University of Venezuela, UCV-FAU, 1.984, -Architectural Design -Project Management -Sustainable Building Practices -AutoCAD and SketchUp -Strong Communication and Leadership.
Maigualida Q. hasn’t added any Work History to their OpenTrain profile yet.