Dataset Card for MPII Human Pose

MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation. The dataset includes around 25K images containing over 40K people with annotated body joints. The images were systematically collected using an established taxonomy of every day human activities. Overall the dataset covers 410 human activities and each image is provided with an activity label. Each image was extracted from a YouTube video… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/MPII_Human_Pose_Dataset.

Dataset Card for MPII Human Pose Descriptions

  Dataset Summary

The MPII Human Pose Descriptions dataset extends the widely-used MPII Human Pose Dataset with rich textual annotations. These annotations are generated by various state-of-the-art language models (LLMs) and include detailed descriptions of the activities being performed, the count of people present, and their specific poses. The dataset consists of the same image splits as provided in MMPose, with 14644… See the full description on the dataset page: https://huggingface.co/datasets/saifkhichi96/mpii-human-pose-captions.

The better results in our method are written in bold.

Dataset

This dataset was created by Super Senix

Contents

Meharun/mpii-human-pose dataset hosted on Hugging Face and contributed by the HF Datasets community

Comparisons of PCK@0.5 score on the MPII valid set.

Dataset

This dataset was created by Sanjay Acharjee

Contents

Dataset

This dataset was created by Kae

Contents

It contains the following files:

akahana/mpii-face-gaze dataset hosted on Hugging Face and contributed by the HF Datasets community

Ablation study of DE-HRNet’s components on the MPII valid set.

MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild.

Comparisons on the COCO validation set. #Params and FLOPS are calculated only for the method.

Mp2

## Overview

Mp2 is a dataset for object detection tasks - it contains Dental annotations for 3,796 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Comparisons on the COCO test-dev set. The bottom-up methods use multi-scale testing.

groundmore/BEAR-MPII-Cooking2 dataset hosted on Hugging Face and contributed by the HF Datasets community

The MPI-Leipzig Mind-Brain-Body dataset contains MRI and behavioral data from 318 participants. Datasets for all participants include at least a structural quantitative T1-weighted image and a single 15-minute eyes-open resting-state fMRI session.

The participants took part in one or two extended protocols: (1) Leipzig Mind-Body-Brain Interactions (LEMON) and (2) Neuroanatomy & Connectivity Protocol (N&C). The data from LEMON protocol is included in the ‘ses-01’ subfolder; the data from N&C protocol in ‘ses-02’ subfolder.

LEMON focuses on structural imaging. 228 participants were scanned. In addition to the quantitative T1-weighted image, the participants also have a structural T2-weighted image (226 participants), a diffusion-weighted image with 64 directions (228) and a 15-minute eyes-open resting-state session (228). New imaging sequences were introduced into the LEMON protocol after data acquisition for approximately 110 participants. Before the change, a low-resolution 2D FLAIR images were acquired for clinical purposes (110). After the change, 2D FLAIR was replaced with high-resolution 3D FLAIR (117). The second addition was the acquisition of gradient-echo images (112) that can be used for Susceptibility-Weighted Imaging (SWI) and Quantitative Susceptibility Mapping (QSM).

The N&C protocol focuses on resting-state fMRI data. 199 participants were scanned with this protocol; 109 participants also took part in the LEMON protocol. Structural data was not acquired for the overlapping LEMON participants. For the unique N&C participants, only a T1-weighted and a low-resolution FLAIR image were acquired. Four 15-minute runs of eyes-open resting-state are the main component of N&C; they are complete for 194 participants, three participants have 3 runs, one participant has 2 runs and one participant has a single run. Due to a bug in multiband sequence used in this protocol, the echo time for N&C resting-state is longer than in LEMON — 39.4 ms vs 30 ms.

Forty-five participants have complete imaging data: quantitative T1-weighted, T2-weighted, high-resolution 3D FLAIR, DWI, GRE and 75 minutes of resting-state. Both gradient-echo and spin-echo field maps are available in both datasets for all EPI-based sequences (rsfMRI and DWI).

Extensive behavioral data was acquired in both protocols. They include trait and state questionnaires, as well as behavioral tasks.

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the "all-forcing simulation of the recent past with atmospheric CO2 concentration calculated" (esm-hist) experiment. These are available at the following frequencies: 3hr, 6hrLev, 6hrPlev, 6hrPlevPt, AERday, AERmon, AERmonZ, Amon, CF3hr, CFday, CFmon, E3hr, E3hrPt, Eday, EdayZ, Emon, Eyr, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.

CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).

The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.CMIP.MPI-M.MPI-ESM1-2-HR.historical' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.

The MPI-ESM1.2-HR climate model, released in 2017, includes the following components: aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.

The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the "coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6" (highres-future) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon, Oday, Ofx, Omon, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1.

CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).

The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.

This dataset includes the MPI-ESM-LR model output prepared for SPECS decadal (1901-2015). These data were prepared by the Max Planck Institute for Meteorology (MPI-M), as part of the SPECS project.

Model id is MPI-ESM-LR (MPI-ESM-LR 2015; atmosphere: ECHAM6 v6.3.01p2 (REV: 3904), T63L47; land: JSBACH (REV: 3904); ocean: MPIOM v1.6.1p1 (REV: 3753) marine biogeochemistry HAMOCC included, GR15L40; sea ice (REV: 3753). Frequency is daily and monthly.

Daily Atmospheric variables are: clt hfls hfss pr prc psl rlds rlut rsds tas tasmin tasmax uas vas zg

Daily land variables are: mrso

Monthly atmos variables: clt hfls hfss hus pr prsn psl rlds rlut rsds rsdt rsut ta tas tasmax tasmin tauu tauv ua uas vas va zg

Monthly ocean variables: mlotst so thetao tos uo vo zos

Monthly land variables: mrro mrso

Monthly sea ice variables: sit