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DeepLab (2017)

Published
Apr 27, 2017

DeepLab (2017) is an AI model developed by Johns Hopkins University, Google and University College London (UCL) (United States and United Kingdom), first published in April 2017. It works in the vision domain, on tasks such as image segmentation.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 26.5M datapoints.

The reference paper has 20,019 citations.

Full record
Organization
Johns Hopkins University, Google, University College London (UCL)
Country of organization
United States, United Kingdom
Domain
Vision
Task
Image segmentation
Dataset size
26.5M
Citations
20,019
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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