mlsanityData to 7 Oct 2026

YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series

arXiv 2406.19407 ↗First posted 12 Jun 2024cs.CVcited by 22

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Abstract (arXiv)

This review systematically examines the progression of the You Only Look Once (YOLO) object detection algorithms from YOLOv1 to the recently unveiled YOLOv12. Employing a reverse chronological analysis, this study examines the advancements introduced by YOLO algorithms, beginning with YOLOv12 and progressing through YOLO11 (or YOLOv11), YOLOv10, YOLOv9, YOLOv8, and subsequent versions to explore each version's contributions to enhancing speed, detection accuracy, and computational efficiency in real-time object detection. Additionally, this study reviews the alternative versions derived from YOLO architectural advancements of YOLO-NAS, YOLO-X, YOLO-R, DAMO-YOLO, and Gold-YOLO. Moreover, the study highlights the transformative impact of YOLO models across five critical application areas: autonomous vehicles and traffic safety, healthcare and medical imaging, industrial manufacturing, surveillance and security, and agriculture. By detailing the incremental technological advancements in subsequent YOLO versions, this review chronicles the evolution of YOLO, and discusses the challenges and limitations in each of the earlier versions. The evolution signifies a path towards integrating YOLO with multimodal, context-aware, and Artificial General Intelligence (AGI) systems for the next YOLO decade, promising significant implications for future developments in AI-driven applications. YOLO Review, YOLO Advances, YOLOv13, YOLOv14, YOLOv15, YOLOv16, YOLOv17, YOLOv18, YOLOv19, YOLOv20, YOLO review, YOLO Object Detection

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 7 of its 171 references that are in the map. First posted on arXiv 12 Jun 2024.

Builds on

7 of 171 references.

References · 7

  1. 2018Deep Learning for Generic Object Detection: A Surveycited by 392
  2. 2020A Comprehensive Survey of Neural Architecture Search: Challenges and Solutionscited by 253
  3. 2023A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAScited by 149
  4. 2017Single Shot Temporal Action Detectioncited by 123
  5. 2023Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithmcited by 12
  6. 2024Integration of cognitive tasks into artificial general intelligence test for large modelscited by 5
  7. 2023Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollinationcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 12; 2026: 7.

22 papers.

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  1. 2025YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detectioncited by 76
  2. 2025Ultralytics YOLO Evolution: An Overview of YOLO27, YOLO26, YOLO11, YOLOv8, and YOLOv5 Object Detectors for Computer Vision and Pattern Recognitioncited by 17
  3. 2025RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguitycited by 11
  4. 2024Comprehensive Performance Evaluation of YOLOv12, YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environmentscited by 5
  5. 2024Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Developmentcited by 5
  6. 2025YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detectioncited by 4
  7. 2025Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10cited by 3
  8. 2024Integrating YOLO11 and Convolution Block Attention Module for Multi-Season Segmentation of Tree Trunks and Branches in Commercial Apple Orchardscited by 2
  9. 2025Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Taskscited by 1
  10. 2025A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11ncited by 1
  11. 2026DINOv3 Visual Representations for Blueberry Perception Toward Robotic Harvestingcited by 1
  12. 2026YOLO Object Detectors for Robotics -- a Comparative Studycited by 1
10 more
  1. 2025Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Roomcited by 0
  2. 2025Real-Time Fish Detection in Indonesian Marine Ecosystems Using Lightweight YOLOv10-nano Architecturecited by 0
  3. 2025Scale-Aware Curriculum Learning for Ddata-Efficient Lung Nodule Detection with YOLOv11cited by 0
  4. 2025Generalization vs. Specialization: Evaluating Segment Anything Model (SAM3) Zero-Shot Segmentation Against Fine-Tuned YOLO Detectorscited by 0
  5. 2025Multi-temporal Adaptive Red-Green-Blue and Long-Wave Infrared Fusion for You Only Look Once-Based Landmine Detection from Unmanned Aerial Systemscited by 0
  6. 2026Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classificationcited by 0
  7. 2026A Marine Debris Detection Framework for Ocean Robots via Self-Attention Enhancement and Feature Interaction Optimizationcited by 0
  8. 2026ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognitioncited by 0
  9. 2026Optimizing YOLO27, YOLO26, YOLO11, and YOLOv8 for Fine-Grained Small-Object Detection and Segmentation in Complex Orchard Environmentscited by 0
  10. 2026A Lightweight Multimodal Vision-Language Framework for Early-Stage Anatomical Green Fruit Classification in Commercial Orchardscited by 0