Dataset Card for Food

Dataset Description

Dataset Summary

Sample dataset with vegetable annotations

Supported Tasks and Leaderboards

• object-detection: The dataset can be used to train a model for Object Detection.

Languages

English

Dataset Structure

[More Information Needed]

Data Instances

A data point comprises an image and its object annotations.

{
  'image_id': 75,
  'image': Test_233.jpg,
  'width': 620,
  'height': 350,
  'objects': {
    'id': [212,213,214,215,216,217], 
    'area': [9138.402799999996,7127.4616,8837.071,7997.723299999998,7590.117599999998,8844.078],
    'bbox': [
      [245.82,165.21,95.63,95.56],
      [363.72,100.47,84.08,84.77],
      [ 154.88,99.7,91.01,97.1],
      [308.24,8.77,89.47,89.39]
    ], 
    'category': [2, 2, 2, 2]
  }
}

Data Fields

• image: the image id
• image: image name
• width: the image width
• height: the image height
• objects: a dictionary containing bounding box metadata for the objects present on the image
  • id: the annotation id
  • area: the area of the bounding box
  • bbox: the object's bounding box (in the coco format)
  • category: the object's category:Broccoli (1),Tomato (2),Potato (3)

Data Splits

The data is not split

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

The images for this dataset were collected from Flickr and Google Images.

Annotations

Annotation process

The dataset was labelled : Broccoli, Tomato, Potato

Who are the annotators?

Hadassah did the annotations using CVAT tool.

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

Contributions