atlas cupture
Atlas Capture is a platform used for large-scale image and video data annotation to support machine learning and computer vision projects across areas such as autonomous systems, surveillance, and AI research. Its scope includes data capture, human-in-the-loop labeling, and dataset preparation, with specific labeling tasks such as frame-by-frame video annotation, object tracking, bounding boxes, polygon-based segmentation, keypoint labeling, and classification of scenes or attributes. Projects handled through Atlas Capture are typically medium to large in size, ranging from hundreds of thousands to millions of images and thousands of video clips, often worked on by multiple annotators simultaneously. To ensure high-quality outputs, the platform follows strict quality measures including detailed annotation guidelines, multi-stage reviews, inter-annotator agreement checks, use of gold-standard reference data, random spot checks, and defined accuracy thresholds