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Datasets:
Hadassah
/
Food

Tasks:
Object Detection
Languages:
English
Size:
n<1K
Tags:
food
License:
Dataset card Files
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- license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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:
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+ - en
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+ license:
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+ - unknown
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - n<1K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - object-detection
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+ task_ids: []
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+ paperswithcode_id: food
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+ pretty_name: food
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+ tags:
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+ - food
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+ dataset_info:
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+ features:
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+ - name: image_id
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+ dtype: int64
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+ - name: image
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+ dtype: string
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+ - name: width
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+ dtype: int32
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+ - name: height
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+ dtype: int32
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+ - name: objects
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+ sequence:
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+ - name: id
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+ dtype: int64
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+ - name: area
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+ dtype: int64
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+ - name: bbox
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+ sequence: float32
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+ length: 4
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+ - name: category
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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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+
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+ # Dataset Card for CPPE - 5
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+
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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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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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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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+
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+ ## Dataset Description
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+
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+
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+
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+ ### Dataset Summary
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+
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+ Sample dataset with vegetable annotations
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - `object-detection`: The dataset can be used to train a model for Object Detection.
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+
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+ ### Languages
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+
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+ English
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+
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+ ## Dataset Structure
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+ [More Information Needed]
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+
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+ ### Data Instances
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+
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+ A data point comprises an image and its object annotations.
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+
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+ ```
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+ {
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+ 'image_id': 75,
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+ 'image': Test_233.jpg,
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+ 'width': 620,
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+ 'height': 350,
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+ 'objects': {
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+ 'id': [212,213,214,215,216,217],
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+ 'area': [9138.402799999996,7127.4616,8837.071,7997.723299999998,7590.117599999998,8844.078],
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+ 'bbox': [
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+ [245.82,165.21,95.63,95.56],
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+ [363.72,100.47,84.08,84.77],
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+ [ 154.88,99.7,91.01,97.1],
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+ [308.24,8.77,89.47,89.39]
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+ ],
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+ 'category': [2, 2, 2, 2]
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+ }
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `image`: the image id
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+ - `image`: `image name`
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+ - `width`: the image width
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+ - `height`: the image height
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+ - `objects`: a dictionary containing bounding box metadata for the objects present on the image
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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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+
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+ ### Data Splits
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+
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+ The data is not split
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ The images for this dataset were collected from Flickr and Google Images.
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ The dataset was labelled : Brocolli, Tomato, Potato
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+
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+ #### Who are the annotators?
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+
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+ Hadassah did the annotations using CVAT tool.
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ ### Contributions