Home / Research Articles Hub / Object detection using YOLO: challenges, architect...
🤖 Artificial Intelligence OpenAlex

Object detection using YOLO: challenges, architectural successors, datasets and applications

📅 Published: August 8, 2022 👤 Tausif Diwan, G. Anirudh, Jitendra V. Tembhurne 📖 Multimedia Tools and Applications 📊 1,408 citations
AI-Generated Summary

This research explores Object detection using YOLO: challenges, architectural succe..., contributing new insights to the field of Artificial Intelligence.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Research demonstrates significant advances in performance benchmarks
  • 2 Study provides new evidence regarding model accuracy improvements
  • 3 Findings open new directions for computational efficiency
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

Read Full Paper at OpenAlex
More Artificial Intelligence Papers ← Back to Hub 📚 Learning Hub
Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Aug 8, 2022
Journal Multimedia Tools and Applications
DOI 10.1007/s11042-022-13644-y
Citations 1,408
Authors Tausif Diwan, G. Anirudh, Jitendra V. Tembhurne