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Mid-level Features

Published
Jun 13, 2010

Mid-level Features is an AI model developed by INRIA, Ecole Normale Supèrieure and New York University (NYU) (France and United States), first published in June 2010. It works in the vision domain, on tasks such as object recognition.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 1.5K datapoints.

The reference paper has 1,314 citations.

Full record
Organization
INRIA, Ecole Normale Supèrieure, New York University (NYU)
Country of organization
France, United States
Domain
Vision
Task
Object recognition
Dataset size
1.5K
Citations
1,314
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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