Popular Computer Vision Datasets for Human Pose Estimation
MPII Human Pose Dataset
Dataset link: http://human-pose.mpi-inf.mpg.de/
It is comprised of about 25,000 images with over 40,000 annotated poses, which is dedicated to the human body pose estimations. The images focus on many aspects of human activity; as such, the joint annotations of the images are elaborate. The human pose estimation refers to the process of identifying the position of human joints and it is used in training and evaluation of algorithms.
COCO Keypoints
Dataset link: https://cocodataset.org/#keypoints-2020
This is as part of the larger dataset commonly known as the COCO dataset with annotations for keypoint detection. It contains more than 200K images as well as over 250K person instances that are annotated by 17 keypoints of each subject, including the limbs’ joints and facial features.
Dataset for Computer Vision
Computer Vision is an area in the field of Artificial Intelligence that enables machines to interpret and understand visual information. As in case of any other AI application, Computer vision also requires huge amount of data to give accurate results. These datasets provide all the necessary training material for these algorithms.
A dataset that will well-prepared and maintained will allow the model to learn from examples, recognize pattern and then make predictions about the unseen data. Therefore, the quality of datasets matters a lot, as it impacts the performance and robustness of computer vision applications.