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 (1.0%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
·
Repository
BDD100k Images 10K Segmentation
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 14.7 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Citation
README.md
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning (Images 10K)
BDD100K: Images 10K is a dataset for instance segmentation, semantic segmentation, and object detection tasks.
Owner
- Name: dataset-ninja
- Login: dataset-ninja
- Kind: organization
- Repositories: 1
- Profile: https://github.com/dataset-ninja
Citation (CITATION.md)
If you make use of the BDD100K: Images 10K data, please cite the following reference:
``` bibtex
@dataset{BDD100K: Images 10K,
author={Fisher Yu and Haofeng Chen and Xin Wang and Wenqi Xian and Yingying Chen and Fangchen Liu and Vashisht Madhavan and Trevor Darrell},
title={BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning (Images 100K)},
year={2020},
url={https://www.bdd100k.com/}
}
```
[Source](https://www.bdd100k.com/)
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Dependencies
requirements.txt
pypi