YOLOv10-X

Training compute

1.5×10¹⁷ FLOP

Parameters

29.5M

Published

May 23, 2024

YOLOv10-X is an AI model developed by Tsinghua University (China), first published in May 2024. It works in the vision domain, on tasks such as object detection.

Training it took an estimated 1.5×10¹⁷ FLOP of compute (estimation method: operation counting). The model has 29,500,000 parameters. Training ran on 8 NVIDIA GeForce RTX 3090 Ti.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Tsinghua University
Country of organization: China
Domain: Vision
Task: Object detection
Training compute: 1.5×10¹⁷ FLOP
Compute estimation method: Operation counting
Parameters: 29,500,000
Training hardware: NVIDIA GeForce RTX 3090 Ti
Chips used: 8
Training power draw: 7.1 kW
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Likely