Monocular Depth Prediction

Parameters

1.5M

Published

Dec 5, 2005

Monocular Depth Prediction is an AI model developed by Stanford University (United States), first published in December 2005. It works in the vision domain, on tasks such as miscellaneous image analysis.

Epoch AI has no training-compute estimate for this model. The model has 1,472,256 parameters. It was trained on roughly 2.9M datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 1,417 citations. Epoch AI rates the confidence of this record as speculative.

Full record

Organization: Stanford University
Country of organization: United States
Domain: Vision
Task: Miscellaneous image analysis
Parameters: 1,472,256
Dataset size: 2.9M
Model accessibility: Unreleased
Open weights: No
Citations: 1,417
Epoch confidence: Speculative