Science Score: 13.0%

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

  • 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 (0.8%) to scientific vocabulary

Scientific Fields

Artificial Intelligence and Machine Learning Computer Science - 40% confidence
Last synced: 4 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: SZU-AdvTech-2024
  • Default Branch: main
  • Size: 0 Bytes
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 12 months ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/244-DETRs-Beat-YOLOs-on-Real-time-Object-Detection/blob/main/

animal.py
rtdetr-l-test.yamlrtdetr
african-wildlife.yaml
yolo8n.ptyolo11n.ptyolo
trianepoch

african-wildlife :https://docs.ultralytics.com/zh/datasets/detect/african-wildlife/

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

GitHub Events

Total
  • Push event: 2
  • Create event: 3
Last Year
  • Push event: 2
  • Create event: 3