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Update README.md

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  ---
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  annotations_creators:
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- - crowdsourced
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  language_creators:
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  - found
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  language:
@@ -43,27 +43,17 @@ dataset_info:
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  dtype:
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  class_label:
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  names:
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- '1': Brocolli
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  '2': Tomato
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  '3': Potato
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- splits:
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- - name: train
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- num_bytes: 240481257
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- num_examples: 1000
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- - name: test
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- num_bytes: 4172715
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- num_examples: 29
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- download_size: 238482705
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- dataset_size: 244653972
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  ---
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- # Dataset Card for CPPE - 5
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
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- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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  - [Languages](#languages)
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  - [Dataset Structure](#dataset-structure)
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  - [Data Instances](#data-instances)
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  - [Source Data](#source-data)
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  - [Annotations](#annotations)
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  - [Personal and Sensitive Information](#personal-and-sensitive-information)
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- - [Considerations for Using the Data](#considerations-for-using-the-data)
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- - [Social Impact of Dataset](#social-impact-of-dataset)
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- - [Discussion of Biases](#discussion-of-biases)
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- - [Other Known Limitations](#other-known-limitations)
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- - [Additional Information](#additional-information)
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- - [Dataset Curators](#dataset-curators)
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- - [Licensing Information](#licensing-information)
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- - [Citation Information](#citation-information)
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- - [Contributions](#contributions)
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  ## Dataset Description
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@@ -137,7 +118,7 @@ A data point comprises an image and its object annotations.
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  - `id`: the annotation id
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  - `area`: the area of the bounding box
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  - `bbox`: the object's bounding box (in the [coco](https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/#coco) format)
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- - `category`: the object's category:`Brocolli` (1),`Tomato` (2),`Potato` (3)
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  ### Data Splits
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@@ -163,7 +144,7 @@ The images for this dataset were collected from Flickr and Google Images.
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  #### Annotation process
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- The dataset was labelled : Brocolli, Tomato, Potato
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  #### Who are the annotators?
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  ---
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  annotations_creators:
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+ - self
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  language_creators:
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  - found
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  language:
 
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  dtype:
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  class_label:
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  names:
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+ '1': Broccoli
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  '2': Tomato
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  '3': Potato
 
 
 
 
 
 
 
 
 
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  ---
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+ # Dataset Card for Food
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  ## Table of Contents
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  - [Table of Contents](#table-of-contents)
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
 
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  - [Languages](#languages)
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  - [Dataset Structure](#dataset-structure)
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  - [Data Instances](#data-instances)
 
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  - [Source Data](#source-data)
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  - [Annotations](#annotations)
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  - [Personal and Sensitive Information](#personal-and-sensitive-information)
 
 
 
 
 
 
 
 
 
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  ## Dataset Description
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  - `id`: the annotation id
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  - `area`: the area of the bounding box
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  - `bbox`: the object's bounding box (in the [coco](https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/#coco) format)
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+ - `category`: the object's category:`Broccoli` (1),`Tomato` (2),`Potato` (3)
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  ### Data Splits
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  #### Annotation process
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+ The dataset was labelled : Broccoli, Tomato, Potato
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  #### Who are the annotators?
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