Methods › Computer Vision › Object Detection Models › YOLOv8

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YOLOv8

254 papers tagged archive 2025-07-28

Introduced by Joseph Redmon et al. in YOLOv3: An Incremental Improvement

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 254, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 192 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Object Detection115
object-detection107
Object28
Semantic Segmentation26
Segmentation25
Instance Segmentation18
Real-Time Object Detection13
Management11
Deep Learning10
2D Object Detection9
Computational Efficiency9
Defect Detection9
Data Augmentation8
Diagnostic8
Image Classification8
Medical Object Detection8
Transfer Learning8
image-classification8
medical image detection8
Autonomous Driving7

Usage over time archive 2025-07-28

Papers per year tagged with YOLOv8: 2018 to 2025, peak 150 150 0 2018: 1 paper 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 47 papers 2023 2024: 150 papers 2024 2025: 56 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (254 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Object Detection Models

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