Infectious Bovine Pinkeye Detection Using Computer Vision and Imbalance-Aware Learning

arXiv:2609.23714 · cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.CV

Submitted: 2026-09-20

Updated: 2026-09-20

Code: https://github.com/ultralytics/ultralytics

Terminology

• Accuracy — 100× in this paper · explained in 1 episode
• Generalization — 7× in this paper · explained in 13 episodes
• Feature Extraction — 5× in this paper · explained in 2 episodes
• Data Augmentation — 4× in this paper · explained in 7 episodes
• Distribution Focal Loss — 4× in this paper
• Random Minority Oversampling — 4× in this paper
• Activation Function — 3× in this paper · explained in 1 episode
• Infectious Bovine Keratoconjunctivitis — 3× in this paper
• Small-Target-Aware Label Assignment — 3× in this paper
• You Only Look Once — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Gaussian Error Linear Unit — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Dakota State University Cottonwood Field Station — 1× in this paper
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Internet of Things — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Spatial Pyramid Pooling Fast — 1× in this paper

Sources

• YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems
• YOLOv4: Optimal Speed and Accuracy of Object Detection
• Metrics for Multi-Class Classification: an Overview
• Gaussian Error Linear Units (GELUs)
• YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Review
• Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
• YOLOv11: An Overview of the Key Architectural Enhancements
• YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
• Detecting and Classifying Defective Products in Images Using YOLO
• YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection
• Diagnosis of diabetic retinopathy using machine learning & deep learning technique

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