Smithsonian Butterfly Dataset by Kaggle | Other

About this Dataset

Smithsonian Butterfly Dataset

Butterfly images and information from the Smithsonian Institution

By huggan (From Huggingface) [source]

About this dataset

The Smithsonian Butterflies Subset Dataset is a comprehensive collection of butterfly images and information sourced from the prestigious Smithsonian Institution. This dataset is ideal for researchers, nature enthusiasts, and machine learning practitioners seeking to explore the vast world of butterfly species.

Featuring a wide range of butterfly images captured in various regions, the dataset provides valuable insights into their vibrant colors, intricate patterns, and unique physical characteristics. Each entry includes an image URL that allows users to visually explore the breathtaking beauty of these delicate creatures.

Butterfly identification becomes effortless with this dataset's detailed information on common names, scientific names, gender distinctions, taxonomy classifications, and life stages. From majestic adults to captivating larvae and pupae forms, this dataset covers every stage in a butterfly's remarkable journey.

For further research or cross-referencing purposes, the dataset includes specific localities where each recorded observation was made. Additionally, users can delve into deeper taxonomic information such as kingdom, order, family details provided in the taxonomy column.

To facilitate comprehensive studies or traceability within scientific databases like EDAN (Smithsonian's Electronic Data Accession Network), each butterfly record is associated with a unique EDAN URL. Researchers can access more extensive information about each species through this link.

Moreover,the similarity score enables users to identify similar images within the dataset that possess comparable features or characteristics. By using advanced machine learning models or conducting image recognition experiments,this score can be utilized effectively

Whether you are conducting research on regional distributions or training machine learning algorithms for automatic identification purposes,the Smithsonian Butterflies Subset Dataset offers an invaluable resource for cataloging and understanding these magnificent creatures.Images are accompanied by alternative text descriptions which enhance accessibility and inclusivity for individuals with visual impairments.Users also have access to hash values for image verification purposes,

Discover priceless insights into butterflies' natural habitats by examining their occurrence across different regions worldwide.All observations are complemented by significant metadata such as dates enabling temporal analysis of migration patterns.Additionally,a unique identifier assigned by the United States National Museum (USNM) further facilitates referencing within scientific communities.

Finally, with the source column providing an indication of the origin or contributor of each image and accompanying information, users can ensure proper citation and acknowledge the efforts of primary data sources.

Overall, this extensive and diverse butterfly dataset from the Smithsonian Institution offers an invaluable resource for researchers, educators, and enthusiasts eager to explore these captivating creatures in detail

How to use the dataset

1. Accessing the Dataset

To access the dataset, you can download it from Kaggle's website. The dataset consists of a CSV file named 'train.csv', which contains all the relevant information about each butterfly entry.

2. Understanding the Columns

The CSV file contains several columns that provide different types of information about each butterfly entry:

image_url: The URL of the image of the butterfly.

image_alt: The alternative text for the image.

name: The common name of the butterfly.

scientific_name: The scientific name of the butterfly.

gender: The gender of
the butterfly (if applicable).

taxonomy: The taxonomic classification of
the butterfly.

region: The region where
the butterfly is found.

locality: The specific locality where
the butterfly was observed.

stage: The life stage of the.butterfly****, including <span style=text-decoration: underline;>adult, larva, and pupa.

3. Using Image URLs and Alternative Texts

The columns 'image_url' and 'image_alt' provide valuable information regarding each butterfly's visual representation:

- Image URL

The 'image_url' column contains links to images displaying butterflies in their natural context or curated in museums. By accessing these URLs, you can retrieve the images associated with each butterfly entry.

- Alternative Text

The 'image_alt' column provides alternative text descriptions for the images. This is essential for various applications, including accessibility purposes or when images cannot be loaded or viewed. These alternative texts allow you to understand and describe the visual content of each butterfly entry without relying solely on the actual image.

4. Exploring Butterfly Names and Scientific Names

The columns 'name' and 'scientific_name' provide information about each butterfly's common and scientific names, respectively. These names are crucial for taxonomy studies, species identification, or conducting research related

Research Ideas

Butterfly species classification: The dataset can be used to train machine learning models to classify different butterfly species based on their images and associated information like region, date, and taxonomy.

Biodiversity conservation: By analyzing the distribution of different butterfly species across regions and over time, this dataset can provide valuable insights into biodiversity patterns and help in identifying areas that are important for conservation efforts.

Ecological research: Researchers can use this dataset to study the life stages (e.g., larva, adult) of butterflies in relation to their habitat, identify specific localities where certain species are more abundant or rare, and investigate factors that may affect the population dynamics of butterfly species

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Column name	Description
image_url	The URL of the image of the butterfly. (String)
image_alt	The alternative text for the image. (String)
name	The common name of the butterfly. (String)
scientific_name	The scientific name of the butterfly. (String)
gender	The gender of the butterfly. (String)
taxonomy	The taxonomic classification of the butterfly. (String)
region	The region where the butterfly is found. (String)
locality	The specific locality where the butterfly was observed. (String)
date	The date when the butterfly was observed. (String)
usnm_no	The unique identifier assigned by the United States National Museum for referencing individual butterfly specimens. (String)
edan_url	The URL linking to the record of the butterfly in the Smithsonian's Electronic Data Accession Network (EDAN). (String)
source	The source of the butterfly image and information. (String)
stage	The life stage of the butterfly (e.g., adult, larva, pupa). (String)
image_hash	The unique hash value assigned to the image for identification or comparison purposes. (String)
sim_score	The similarity score metric that measures how closely related an image is to others within its class/category. (Float)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit huggan (From Huggingface).

Tables

Train

@kaggle.thedevastator_smithsonian_butterfly_dataset.train

460.98 MB
1000 rows
18 columns


CREATE TABLE train (
  "image_url" VARCHAR,
  "image_alt" VARCHAR,
  "id" VARCHAR,
  "name" VARCHAR,
  "scientific_name" VARCHAR,
  "gender" VARCHAR,
  "taxonomy" VARCHAR,
  "region" VARCHAR,
  "locality" VARCHAR,
  "date" VARCHAR,
  "usnm_no" VARCHAR,
  "guid" VARCHAR,
  "edan_url" VARCHAR,
  "source" VARCHAR,
  "stage" VARCHAR,
  "image" VARCHAR,
  "image_hash" VARCHAR,
  "sim_score" DOUBLE
);