YOLOv5

Ultralytics · 2020 · Vision/CV · USA / global

A to Z

A · App: No
B · Built By: Ultralytics
C · CEO & Politics: Glenn Jocher — No public partisan activity documented
D · Date: 2020
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: USA / global
K · Key Staffers: Glenn Jocher (Author)
L · Languages: English-primary
M · Model Type: Vision/CV
N · Safety Issues: Computer-vision risks: dataset bias, domain shift, privacy concerns in images, and unreliable performance outside benchmark-like settings.
O · Open Source: Yes — open weights
P · Pricing: Free (open source, AGPL-3.0); Enterprise License for closed-source commercial use
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: Ultralytics' YOLOv5, a fast, accurate and easy-to-use PyTorch computer vision model for object detection, instance segmentation and image classification; Ultralytics calls it mature and production-proven and points users who need newer architectures or tasks such as pose estimation to its ultralytics package.
S · Stock / Status: Private
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: @ultralytics
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Vision/CV from Ultralytics, released 2020.

Data completeness 85% · Last verified 2026-05-12 · Primary source ↗

“YOLOv5.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/yolov5.html