Update entities (#1612)

* update predicted entities section * update --------- Co-authored-by: Aymane Chilah <[email protected]>
JohnSnowLabs · Nov 22, 2024 · 6c8a516 · 6c8a516
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diff --git a/docs/_posts/aymanechilah/2023-01-03-ner_deid_large_en_3_2.md b/docs/_posts/aymanechilah/2023-01-03-ner_deid_large_en_3_2.md
@@ -25,6 +25,8 @@ It protects specific health information that could identify living or deceased i
 
 ## Predicted Entities
 
+``NAME``, ``AGE``, ``CONTACT``, ``LOCATION``, ``PROFESSION``, ``PERSON``, ``DATE``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/DEID_IMAGE/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/tutorials/Certification_Trainings/3.1.SparkOcrImageDeIdentification.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-01-10-general_model_table_detection_v2_en_3_2.md b/docs/_posts/aymanechilah/2023-01-10-general_model_table_detection_v2_en_3_2.md
@@ -24,6 +24,8 @@ Here it is used the CascadeTabNet general model for table detection inspired by
 
 ## Predicted Entities
 
+``[table]``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_TABLE_DETECTION_ONLY/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageTableDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-01-10-image_text_detector_v2_en_3_2.md b/docs/_posts/aymanechilah/2023-01-10-image_text_detector_v2_en_3_2.md
@@ -22,6 +22,8 @@ CRAFT: Character-Region Awareness For Text detection, is designed with a convolu
 
 ## Predicted Entities
 
+``text``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/TEXT_DETECTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageTextDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-01-10-text_cleaner_v1_en_3_2.md b/docs/_posts/aymanechilah/2023-01-10-text_cleaner_v1_en_3_2.md
@@ -22,6 +22,8 @@ Model for cleaning image with text. It is based on text detection model with ext
 
 ## Predicted Entities
 
+``corrected_image``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_CLEANER/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageCleaner.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-01-17-docvqa_donut_base_en_3_2.md b/docs/_posts/aymanechilah/2023-01-17-docvqa_donut_base_en_3_2.md
@@ -25,6 +25,8 @@ DocVQA seeks to inspire a “purpose-driven” point of view in Document Analysi
 
 ## Predicted Entities
 
+``answers``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/VISUAL_QUESTION_ANSWERING/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrVisualQuestionAnswering.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-01-17-docvqa_donut_base_opt_en_3_2.md b/docs/_posts/aymanechilah/2023-01-17-docvqa_donut_base_opt_en_3_2.md
@@ -24,6 +24,8 @@ DocVQA seeks to inspire a “purpose-driven” point of view in Document Analysi
 
 ## Predicted Entities
 
+``answers``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/VISUAL_QUESTION_ANSWERING/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrVisualQuestionAnswering_opt.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-07-11-dit_base_finetuned_rvlcdip_en_3_2.md b/docs/_posts/aymanechilah/2023-07-11-dit_base_finetuned_rvlcdip_en_3_2.md
@@ -26,6 +26,8 @@ The abstract from the paper is the following: Image Transformer has recently ach
 
 ## Predicted Entities
 
+``label``.
+
 
 
 {:.btn-box}

diff --git a/docs/_posts/aymanechilah/2023-07-11-tabform_v1_en_3_2.md b/docs/_posts/aymanechilah/2023-07-11-tabform_v1_en_3_2.md
@@ -22,6 +22,8 @@ Model for table and form detection in documents. It is based on text detection m
 
 ## Predicted Entities
 
+``table``, ``form``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_TABLE_FORM_DETECTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageTableAndFormDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-09-14-lilt_roberta_funsd_v1_en_3_2.md b/docs/_posts/aymanechilah/2023-09-14-lilt_roberta_funsd_v1_en_3_2.md
@@ -26,6 +26,9 @@ In the abstract of the LiLT paper, the authors emphasize the growing importance
 
 ## Predicted Entities
 
+``other``, ``b-header``, ``i-header``, ``b-question``, ``i-question``, ``b-answer``, ``i-answer``.
+
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/VISUAL_DOCUMENT_KEYVALUES_NER_LILT/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOCRVisualDocumentNer-FormParsing.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-09-14-lilt_rvl_cdip_296K_en_3_2.md b/docs/_posts/aymanechilah/2023-09-14-lilt_rvl_cdip_296K_en_3_2.md
@@ -26,6 +26,9 @@ In the LiLT paper's abstract, the authors emphasize the importance of structured
 
 ## Predicted Entities
 
+``label``.
+
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_CLASSIFIER/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOCRVisualDocumentClassifierLiLT.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-09-27-image_text_detector_dit_en_3_2.md b/docs/_posts/aymanechilah/2023-09-27-image_text_detector_dit_en_3_2.md
@@ -25,6 +25,8 @@ The abstract from the paper is the following: Image Transformer has recently ach
 
 ## Predicted Entities
 
+``text_regions``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/TEXT_DETECTION_DIT/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageTextDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon} 

diff --git a/docs/_posts/aymanechilah/2023-11-20-docvqa_pix2struct_en_3_2.md b/docs/_posts/aymanechilah/2023-11-20-docvqa_pix2struct_en_3_2.md
@@ -25,6 +25,8 @@ In this context, the Pix2Struct model, originally conceived as an image-to-text
 
 ## Predicted Entities
 
+``answers``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/VISUAL_QUESTION_ANSWERING/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrVisualQuestionAnsweringPix2Struct.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2023-11-20-publaynet_dit_base_mrcnn_en_3_2.md b/docs/_posts/aymanechilah/2023-11-20-publaynet_dit_base_mrcnn_en_3_2.md
@@ -23,9 +23,11 @@ DiT, as proposed in the paper "DiT: Self-supervised Pre-training for Document Im
 
 ## Predicted Entities
 
+``text``, ``title``, ``list``, ``table``, ``figure``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/LAYOUT_ANALYSIS/){:.button.button-orange.button-orange-trans.co.button-icon}
-[Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOCRDitLayoutAnalyze.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
+[Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOCRDocumentLayoutAnalyzer.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/publaynet_dit_base_mrcnn_jsl_en_5.0.0_3.0_1698062080337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
 ## How to use
 

diff --git a/docs/_posts/aymanechilah/2024-03-15-docvqa_pix2struct_jsl_opt_en_3_2.md b/docs/_posts/aymanechilah/2024-03-15-docvqa_pix2struct_jsl_opt_en_3_2.md
@@ -25,6 +25,8 @@ In this context, the Pix2Struct model, originally conceived as an image-to-text
 
 ## Predicted Entities
 
+``answers``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/VISUAL_QUESTION_ANSWERING/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOcrVisualQuestionAnsweringJsl.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-03-15-image_handwritten_detector_jsl_en_3_2.md b/docs/_posts/aymanechilah/2024-03-15-image_handwritten_detector_jsl_en_3_2.md
@@ -22,6 +22,8 @@ Object detection model trained to detect handwritten text one of the foremost ar
 
 ## Predicted Entities
 
+``hw``, ``signature``.
+
 [Live Demo](https://demo.johnsnowlabs.com/ocr/DETECT_HANDWRITTEN/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOCRHandwrittenAndSignatureDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/image_handwritten_detector_jsl_en_5.1.2_3.0_1703781670000.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}

diff --git a/docs/_posts/aymanechilah/2024-03-15-region_cell_detection_en_3_2.md b/docs/_posts/aymanechilah/2024-03-15-region_cell_detection_en_3_2.md
@@ -22,6 +22,8 @@ Object detection model trained to detect table cells one of the foremost archite
 
 ## Predicted Entities
 
+``cells``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_REGION_CELL_DETECTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOcrImageTableRecognitionWHOCR.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-03-15-region_cell_detection_v2_en_3_2.md b/docs/_posts/aymanechilah/2024-03-15-region_cell_detection_v2_en_3_2.md
@@ -23,6 +23,8 @@ Object detection model trained to detect table cells one of the foremost archite
 
 ## Predicted Entities
 
+``cells``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_REGION_CELL_DETECTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOcrImageTableRecognitionWHOCR.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-03-15-table_detection_v3_en_3_2.md b/docs/_posts/aymanechilah/2024-03-15-table_detection_v3_en_3_2.md
@@ -22,6 +22,8 @@ Object detection model trained to detect tables leverages one of the foremost ar
 
 ## Predicted Entities
 
+``table``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_TABLE_DETECTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOcrImageTableDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-04-15-chart_to_text_deplot_jsl_en_3_2.md b/docs/_posts/aymanechilah/2024-04-15-chart_to_text_deplot_jsl_en_3_2.md
@@ -24,6 +24,7 @@ DePlot, as outlined in the paper "DePlot: One-shot visual language reasoning by
 
 ## Predicted Entities
 
+``answers``.
 
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/PDF_CHART_TO_TEXT/){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-04-15-checkbox_detector_v1_en_3_2.md b/docs/_posts/aymanechilah/2024-04-15-checkbox_detector_v1_en_3_2.md
@@ -22,6 +22,8 @@ Object detection model trained to detect document checkboxes one of the foremost
 
 ## Predicted Entities
 
+``Unchecked``, ``Checked``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/CHECKBOX_DETECTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/SparkOcrCheckBoxDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-04-15-info_docvqa_pix2struct_jsl_base_opt_en_3_2.md b/docs/_posts/aymanechilah/2024-04-15-info_docvqa_pix2struct_jsl_base_opt_en_3_2.md
@@ -25,6 +25,8 @@ In this context, the Pix2Struct model, originally conceived as an image-to-text
 
 ## Predicted Entities
 
+``answers``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/INFOGRAPHIC_VISUAL_QUESTION_ANSWERING/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOCRInfographicsVisualQuestionAnswering.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-09-30-visual_re_geo_v1_en_3_2.md b/docs/_posts/aymanechilah/2024-09-30-visual_re_geo_v1_en_3_2.md
@@ -25,6 +25,8 @@ GeoLayoutLM is designed as a multi-modal framework that handles tasks like Seman
 
 ## Predicted Entities
 
+``other``, ``b-header``, ``i-header``, ``b-question``, ``i-question``, ``b-answer``, ``i-answer``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RELATION_EXTRACTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/visual-nlp-workshop/blob/master/jupyter/FormRecognition/FormRecognitionGeo.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}

diff --git a/docs/_posts/aymanechilah/2024-09-30-visual_re_geo_v2_en_3_2.md b/docs/_posts/aymanechilah/2024-09-30-visual_re_geo_v2_en_3_2.md
@@ -25,6 +25,8 @@ GeoLayoutLM is designed as a multi-modal framework that handles tasks like Seman
 
 ## Predicted Entities
 
+``other``, ``b-header``, ``i-header``, ``b-question``, ``i-question``, ``b-answer``, ``i-answer``.
+
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RELATION_EXTRACTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/visual-nlp-workshop/blob/master/jupyter/FormRecognition/FormRecognitionGeo.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
Original file line number	Diff line number	Diff line change
Expand Up		@@ -26,6 +26,8 @@ The abstract from the paper is the following: Image Transformer has recently ach

		## Predicted Entities

		``label``.



		{:.btn-box}
Expand Down