Annotator
MindriftImageBounding Box
Mindrift's bounding box annotation project typically focuses on generating high-quality training data for computer vision models, specifically for tasks like object detection and localization.
Primary Task: Drawing rectangles that encapsulate the essence of objects, providing their approximate location and size.
Key Deliverables: A set of coordinates—usually top-left (x, y) and bottom-right (x, y)—along with corresponding class labels (e.g., "pedestrian," "car," "traffic sign").
Accuracy Standards: Projects often require "pixel-perfect tightness," where edges are flush with the object to minimize background noise.
Mindrift's bounding box annotation project typically focuses on generating high-quality training data for computer vision models, specifically for tasks like object detection and localization. Primary Task: Drawing rectangles that encapsulate the essence of objects, providing their approximate location and size. Key Deliverables: A set of coordinates—usually top-left (x, y) and bottom-right (x, y)—along with corresponding class labels (e.g., "pedestrian," "car," "traffic sign"). Accuracy Standards: Projects often require "pixel-perfect tightness," where edges are flush with the object to minimize background noise.
2025 - 2025