Update README.md

README.md

@@ -12,7 +12,8 @@ tags:
 - fiftyone
 - image
 - object-detection
-dataset_summary: '
+- text-detection
+dataset_summary: >
 
 
 
@@ -20,13 +21,14 @@ dataset_summary: '
 
 
 
-  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1555 samples.
+  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 1555
+  samples.
 
 
   ## Installation
 
 
-  If you haven''t already, install FiftyOne:
+  If you haven't already, install FiftyOne:
 
 
   ```bash
@@ -48,7 +50,7 @@ dataset_summary: '
 
   # Load the dataset
 
-  # Note: other available arguments include ''max_samples'', etc
+  # Note: other available arguments include 'max_samples', etc
 
   dataset = fouh.load_from_hub("NeoKish/Total-Text-Dataset")
 
@@ -58,15 +60,11 @@ dataset_summary: '
   session = fo.launch_app(dataset)
 
   ```
-
-  '
 ---
 
 # Dataset Card for Total-Text-Dataset
 
-<!-- Provide a quick summary of the dataset. -->
-
-
+The Total-Text consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved
 
 
 ![image/png](dataset_preview.jpg)
@@ -96,135 +94,98 @@ dataset = fouh.load_from_hub("NeoKish/Total-Text-Dataset")
 session = fo.launch_app(dataset)
 ```
 
-
 ## Dataset Details
 
 ### Dataset Description
 
 <!-- Provide a longer summary of what this dataset is. -->
 
-
-
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
+- **Curated by :** Chee-Kheng Ch’ng1, Chee Seng Chan1, Cheng-Lin Liu2
+- **Funded by :** Fundamental Research Grant Scheme (FRGS) MoHE (Grant No. FP004-2016) and Postgraduate Research Grant (PPP) (Grant No. PG350-2016A).
 - **Language(s) (NLP):** en
 - **License:** bsd-3-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]
+- **Repository :** https://github.com/cs-chan/Total-Text-Dataset
+- **Paper :** https://arxiv.org/abs/1710.10400
 
 ## 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. -->
-
-[More Information Needed]
+- curved text detection problems
 
 ## 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:        Total-Text-Dataset
+Media type:  image
+Num samples: 1555
+Persistent:  False
+Tags:        []
+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)
+    ground_truth_polylines: fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Polylines)
+    ground_truth:           fiftyone.core.fields.EmbeddedDocumentField(fiftyone.core.labels.Detections)
+```
 
 ## 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, ...). -->
-
-#### Data Collection and Processing
-
-<!-- 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]
-
-#### 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]
-
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+At present, text orientation is not diverse enough in the existing scene text datasets. Specifically, curve-orientated text is
+largely out-numbered by horizontal and multi-oriented text, hence, it has received minimal attention from the community so
+far. Motivated by this phenomenon, the authors collected a new scene text dataset, Total-Text, which emphasized on text orientations
+diversity. It is the first relatively large scale scene text dataset that features three different text orientations: horizontal, multioriented,
+and curve-oriented.
 
 #### 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. -->
+Initial version of Total-Text’s polygon annotation was carried out with the mindset of covering text instances tightly with
+the least amount of vertices. As a result, the uncontrolled length of polygon vertices is not practical to train a regression
+network. The authors refined the Total-Text annotation using the following scheme. Apart from setting the number 
+of polygon vertices to 10 (empirically, 10 vertices are found to be sufficient in covering all the word-level text instances
+tightly in our dataset), they used a guidance concept inspired by Curved scene text detection via transverse and longitudinal 
+sequence connection paper by Liu, et al. which was introduced to remove human annotators’ bias and in turn producing a more consistent ground truth.
+The process for other annotations can be referred from paper. 
 
-[More Information Needed]
+The authors have mentioned in the paper that the human annotator was given the freedom to take a break whenever he feels like to, 
+ensuring that he will not suffer from fatigue which in turn introduces bias to the experiment. Both time and annotation quality 
+were measured internally (within the script) and individually to each image.
+
+The authors have also proposed aided scene text detection annotation tool, T3, could help in providing a better scene text dataset in terms of quality and scale. 
 
 #### Who are the annotators?
 
 <!-- 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. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Chee-Kheng Ch’ng1, Chee Seng Chan1, Cheng-Lin Liu2 and Chun Chet Ng 
 
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
-
-## 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:**
 
-[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]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed]
+```bibtex
+@article{CK2019,
+  author    = {Chee Kheng Ch’ng and
+               Chee Seng Chan and
+               Chenglin Liu},
+  title     = {Total-Text: Towards Orientation Robustness in Scene Text Detection},
+  journal   = {International Journal on Document Analysis and Recognition (IJDAR)},
+  volume    = {23},
+  pages     = {31-52},
+  year      = {2020},
+  doi       = {10.1007/s10032-019-00334-z},
+}
+```
 
-## Dataset Card Contact
+## Dataset Card Authors
 
-[More Information Needed]
+[Kishan Savant](https://huggingface.co/NeoKish)