Face Detection & Face 106 Landmarks & Human Body Segmentation Annotation Data in Online Conference Scenes | 568 People | Imagery Data
Overview
Face Detection & Face 106 Landmarks & Human Body Segmentation Annotation Data in Online Conference Scenes | 568 People | Imagery Data is a video and image dataset. The provider states a volume of 568 people. Typical applications include object detection and segmentation. Relevant sectors: AI & Machine Learning and Education. The listing mentions bounding boxes, polygons / segmentation and keypoints. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 568 people.
- Listing mentions bounding boxes, polygons / segmentation, keypoints.
568 People - Face Detection & Face 106 Landmarks & Human Body Segmentation Annotation Data in Online Conference Scenes. The ethnic groups include East Asians, Caucasians, Blacks, and Browns, with a primary focus on young adults. Various indoor office scenes were captured, including meeting rooms, cafes, libraries, and bedrooms. In terms of annotation, each individual consists of 61 to 64 photos, with annotations for detected facial bounding boxes and 106 facial landmarks, as well as segmentation annotations for the human body. The data can be used for tasks such as facial detection, 106 facial landmark recognition, and human body segmentation. Data size 568 people, each person contains 61-64 images Race distribution 142 Asians, 142 Caucasians, 142 Blacks, and 142 Browns Nationality distribution Vietnam, India, Indonesia, Thailand, Pakistan, Russia, France, Germany, etc. Gender distribution 323 males, 245 females Age distribution ranging from adolescents to the elderly, primarily focusing on young adults Collection environment indoor office settings, such as meeting rooms, cafes, libraries, bedrooms, etc. Collection diversity various facial angles, facial expressions, age groups, and scenarios Collection equipment cellphone, simulating laptop camera perspectives in conference settings Data format image data format is .jpg, annotation document format is .json Annotation content annotations include detected facial bounding boxes and 106 facial landmarks, as well as body segmenta
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