Atlas Data Annotation Project
Worked on a video data annotation project focused on segmentation for computer vision model training. Tasks involved frame-by-frame object segmentation, identifying and labeling specific regions of interest within video sequences to improve model accuracy. Handled large volumes of video data, ensuring consistency and precision across annotations while adhering strictly to project guidelines. Performed quality checks and corrections to maintain high annotation standards, including reviewing edge accuracy and temporal consistency across frames. Utilized annotation tools to segment objects accurately, contributing to the development of reliable datasets for AI model training. Maintained efficiency without compromising quality, meeting project deadlines and performance benchmarks.