STB
3D hand pose data set created using stereo camera - contains 18,000 RGB images and paired depth images - 3D positions of hand joints (21 joints)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-REN )</span>
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3D hand pose data set created using stereo camera - contains 18,000 RGB images and paired depth images - 3D positions of hand joints (21 joints)
Surgical Hands is a dataset that provides multi-instance articulated hand pose annotations for in-vivo videos. The dataset contains 76 video clips from 28 publicly available surgical videos and over 8.1k annotated hand pose instances.
The dataset consists of images of Human palms captured using a mobile phone. The images have been taken in a real-world scenario like holding objects or performing simple gestures. The dataset has a wide variety of variations like illumination, distances etc. It consists of images of 3 main gestures: Frontal-open palm, Back open palm and fist with the wrist. It also has a lot of images with people wearing gloves. Dataset Features: - Captured by 4000+ unique users - Covers wide variety of palm images in indoor and outdoor scenes - Images of palm with gloves - Captured by male and female - Distributed age groups like teenage, adults and old - Captured using mobile phones - Highly diverse - Various lighting conditions like day, night, indoor and outdoor - Outdoor scene with a variety of viewpoints Annotations Format: - Classification and detection annotations available - Multiple category annotations possible - COCO, PASCAL VOC and YOLO formats To download full datasets or to submit a request for your dataset needs, please ping us at (sales@datacluster.ai)[sales@datacluster.ai] Visit www.datacluster.ai to know more.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.