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https://github.com/cvjena/eu-moths-dataset

Repository for the EU moths dataset

https://github.com/cvjena/eu-moths-dataset

Science Score: 26.0%

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Repository

Repository for the EU moths dataset

Basic Info
  • Host: GitHub
  • Owner: cvjena
  • Default Branch: main
  • Size: 343 MB
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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

EU Moths Dataset

This folder contains the EU moths dataset prepared for the evaluation of fine-grained recognition approaches. If you use this dataset, please cite the corresponding paper:

Dimitri Korsch and Paul Bodesheim and Joachim Denzler. Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification Fine-grained Recognition Datasets for Biodiversity Analysis. INFORMATIK 2021, Computer Science for Biodiversity Workshop (CS4Biodiversity). Pages 443-460. 2021. DOI: 10.18420/informatik2021-036

For more details visit the website of the dataset: https://inf-cv.uni-jena.de/eumothsdataset/

Directory Information

  • images/ This directory contains subdirectories named after the corresponding moth species and each subdirectory contains the sample images of that species

  • images.txt The filenames of the images relative to the images directory Each line contains a separate image.

  • labels.txt The class IDs for each image in images.txt in the range 0 to 199. Each line in labels.txt corresponds to the image in the same line in images.txt

  • tr_ID.txt Proposed train-test-splits for each image in images.txt. Each line in tr_ID.txt corresponds to the image in the same line in images.txt. Values are integers ranging from 0 to 3 to and might indicate different test folds. For example, a value of 0 means, this image is used for testing, and a value different from 0 (1 to 3) means this image is used for training.

  • class_names.txt List of class names for the 200 moth species. They correspond to the subdirectory names in images/

  • subset1_class_names.txt and subset1_class_names.txt Proposed subsets of species as in the paper (Korsch et al., 2021)

  • eu_moths_downloads.csv List of download links for retrieving additional training images for indicated species. Each line corresponds to a species name and an URL for an image separated by a comma

Owner

  • Name: Computer Vision Group Jena
  • Login: cvjena
  • Kind: organization
  • Location: Jena

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