Update README.md

README.md

@@ -70,11 +70,22 @@ dataset_summary: '
 
 <!-- Provide a quick summary of the dataset. -->
 
+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**. 
 
-![image/png](dataset_preview.png)
+Overall the dataset covers **410 human activities** and each image is provided with an activity label.
+
+Each image was extracted from a **YouTube video** and provided with preceding and following un-annotated frames. 
+
+In addition, for the test set, richer annotations were obtained including body part occlusions and 3D torso and head orientations.
 
+Following the best practices for the performance evaluation benchmarks in the literature we withhold the test annotations to prevent overfitting and tuning on the test set.
+We are working on an automatic evaluation server and performance analysis tools based on rich test set annotations.
+
+![image/png](dataset_preview.png)
 
 This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 24984 samples.
 
@@ -107,52 +118,56 @@ session = fo.launch_app(dataset)
 
 <!-- Provide a longer summary of what this dataset is. -->
 
+>MPII Human Pose Dataset, Version 1.0
+Copyright 2015 Max Planck Institute for Informatics
+Licensed under the Simplified BSD License
+Annotations and the corresponding  are freely available for research purposes. Commercial use is not allowed due to the fact that the authors do not have the copyright for the images themselves.
 
-
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** en
 - **License:** bsd-2-clause
 
-### Dataset Sources [optional]
+### Dataset Sources 
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Website:** http://human-pose.mpi-inf.mpg.de/#
+- **Paper:** http://human-pose.mpi-inf.mpg.de/contents/andriluka14cvpr.pdf
 
 ## Uses
 
 <!-- Address questions around how the dataset is intended to be used. -->
 
-### Direct Use
-
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+At the time when dataset was released **(2014)**, dataset was evaluated on 2 main tasks:
 
-[More Information Needed]
+* Multi-Person Pose Estimation
+* Single Person Pose Estimation
 
 ## Dataset Structure
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-[More Information Needed]
+```
+Name:        MPII Human Pose
+Media type:  image
+Num samples: 24984
+Persistent:  True
+Tags:        ['version1', 'MPII Human Pose']
+Sample fields:
+    id:           fiftyone.core.fields.ObjectIdField
+    filepath:     fiftyone.core.fields.StringField
+    tags:         fiftyone.core.fields.ListField(fiftyone.core.fields.StringField)
+    metadata:     fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.metadata.ImageMetadata)
+    rectangle_id: fiftyone.core.fields.ListField(fiftyone.core.fields.IntField)
+    activity:     fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Classifications)
+    head_rect:    fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Detections)
+    objpos:       fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Keypoints)
+    scale:        fiftyone.core.fields.VectorField
+    annopoints:   fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Keypoints)
+    video_id:     fiftyone.core.fields.StringField
+    frame_sec:    fiftyone.core.fields.IntField
+```
 
 ## Dataset Creation
 
-### Curation Rationale
-
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
-
 ### Source Data
 
 <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
@@ -161,74 +176,75 @@ session = fo.launch_app(dataset)
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
-[More Information Needed]
+See **Section 2. Dataset - Data collection paragraph** of this [paper](http://human-pose.mpi-inf.mpg.de/contents/andriluka14cvpr.pdf)
 
 #### Who are the source data producers?
 
 <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
 
-[More Information Needed]
+[Source data producers](http://human-pose.mpi-inf.mpg.de/#contact)
 
-### Annotations [optional]
+### Annotations 
 
 <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
+Annotation description
 
-#### Who are the annotators?
+Annotations are stored in a matlab structure **RELEASE** having following fields
 
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+```
+.annolist(imgidx) - annotations for image imgidx
+    .image.name - image filename
+    .annorect(ridx) - body annotations for a person ridx
+        .x1, .y1, .x2, .y2 - coordinates of the head rectangle
+        .scale - person scale w.r.t. 200 px height
+        .objpos - rough human position in the image
+        .annopoints.point - person-centric body joint annotations
+            .x, .y - coordinates of a joint
+            id - joint id (0 - r ankle, 1 - r knee, 2 - r hip, 3 - l hip, 4 - l knee, 5 - l ankle, 6 - pelvis, 7 - thorax, 8 - upper neck, 9 - head top, 10 - r wrist, 11 - r elbow, 12 - r shoulder, 13 - l shoulder, 14 - l elbow, 15 - l wrist)
+            is_visible - joint visibility
+    .vidx - video index in video_list
+    .frame_sec - image position in video, in seconds
+
+img_train(imgidx) - training/testing image assignment
+
+single_person(imgidx) - contains rectangle id ridx of sufficiently separated individuals
+
+act(imgidx) - activity/category label for image imgidx
+    act_name - activity name
+    cat_name - category name
+    act_id - activity id
+
+video_list(videoidx) - specifies video id as is provided by YouTube. To watch video on youtube go to https://www.youtube.com/watch?v=video_list(videoidx)
 
-[More Information Needed]
+```
 
-### Recommendations
+#### Annotation process
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
 
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+See **Section 2. Dataset - Data annotation paragraph** of this [paper](http://human-pose.mpi-inf.mpg.de/contents/andriluka14cvpr.pdf)
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
+```
+@inproceedings{andriluka14cvpr,
+               author = {Mykhaylo Andriluka and Leonid Pishchulin and Peter Gehler and Schiele, Bernt}
+               title = {2D Human Pose Estimation: New Benchmark and State of the Art Analysis},
+               booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+               year = {2014},
+               month = {June}
+}
+```
+## More Information
 
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
 
-[More Information Needed]
+The following [**Github repo**](https://github.com/loloMD/51_contribution/tree/mpii_human_pose/mpii_human_pose) contains code to parse the raw data (in MATLAB format) and convert it into a FiftyOne Dataset 
 
-## Dataset Card Authors [optional]
 
-[More Information Needed]
+“Dataset conversion and data card contributed by [Loic Mandine](https://lolomd.github.io/)
 
-## Dataset Card Contact
 
-[More Information Needed]