Announcing Roboflow's $40M Series B Funding
Products
Platform
Universe
Open source computer vision datasets and pre-trained models
Annotate
Label images fast with AI-assisted data annotation
Train
Hosted model training infrastructure and GPU access
Workflows
Low-code interface to build pipelines and applications
Deploy
Run models on device, at the edge, in your VPC, or via API
Solutions
By Industry
Aerospace & Defence
Agriculture
Automotive
Banking & Finance
Government
Healthcare & Medicine
Logistics
Manufacturing
Oil & Gas
Retail & Ecommerce
Safety & Security
Telecommunications
Transportation
Utilities
Developers
Resources
User Forum
Computer Vision Models
Blog
Convert Annotation Formats
Learn Computer Vision
Inference Templates
Weekly Product Webinar
Pricing
Docs
Blog
Sign In
Get Started
Models
YOLOv9e vs YOLOv8 Medium
YOLOv9e vs YOLOv8 Medium
Learn how YOLOv9e and YOLOv9m compare on the basis of mAP @ 50, mAP @ 75, and the number of parameters each model has.
The data below comes from the
Roboflow Model Leaderboard
, which benchmarks computer vision model performance on the COCO dataset.
Models
YOLOv9e
YOLOv9e (Object Detection)
Learn more about YOLOv9e
YOLOv9m
YOLOv9 Medium (yolov9m) Object Detection
Parameters (in millions)
58.21
20.22
mAP @ 50
0.686
0.609
mAP @ 75
0.605
0.523
Model Features
Item 1 Info
Item 2 Info