Dataset Card for ubc-hackathon-foods

This is a FiftyOne dataset with 3986 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Chirag-R/foods")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

Dataset Description

• Curated by: [More Information Needed]
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• Language(s) (NLP): en
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Uses

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Dataset Structure

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Dataset Creation

Curation Rationale

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Source Data

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Personal and Sensitive Information

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Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

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