Data

Tools

Indexes

Applications

Experiments

Open Source Science

minne-apple

MinneApple: A Benchmark Dataset for Apple Detection and Segmentation

https://github.com/dataset-ninja/minne-apple

Science Score: 31.0%

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

MinneApple: A Benchmark Dataset for Apple Detection and Segmentation

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 66.5 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

MinneApple: A Benchmark Dataset for Apple Detection and Segmentation

MinneApple is a dataset for instance segmentation, semantic segmentation, object detection, and counting tasks.

Owner

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

Citation (CITATION.md) 

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

```APA
Haeni, Nicolai; Roy, Pravakar; Isler, Volkan. (2019). MinneApple: A Benchmark Dataset for Apple Detection and Segmentation. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/8ecp-3r13.
```

[Source](https://conservancy.umn.edu/handle/11299/206575)

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Dependencies

requirements.txt pypi
  • dataset-tools ==0.0.9
  • gdown *
  • supervisely ==6.72.19