Data

Tools

Indexes

Applications

Experiments

Open Source Science

opencows2020

OpenCows2020: Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning

https://github.com/dataset-ninja/opencows2020

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

OpenCows2020: Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 18 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

OpenCow2020: Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning

OpenCow2020 is a dataset for object detection and identification tasks.

Owner

  • Name: dataset-ninja
  • Login: dataset-ninja
  • Kind: organization

Citation (CITATION.md) 

If you make use of the OpenCow2020 data, please cite the following reference:

``` bibtex
William Andrew, Tilo Burghardt, Neill Campbell, Jing Gao (2020): OpenCows2020. 
https://doi.org/10.5523/bris.10m32xl88x2b61zlkkgz3fml17
```

[Source](https://doi.org/10.5523/bris.10m32xl88x2b61zlkkgz3fml17)

GitHub Events

Total
  • Watch event: 1
  • Push event: 2
  • Fork event: 1
Last Year
  • Watch event: 1
  • Push event: 2
  • Fork event: 1

Dependencies

requirements.txt pypi