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Results for: Creator / Instructor Poggio, Tomaso Keywords Optical pattern recognition

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SUFR-W (Subtasks of unconstrained face recognition)

This package contains: 1. SUFR-W, a dataset of “in the wild” natural images of faces gathered from the internet. The protocol used to create the dataset is described in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition 2. The full set of SUFR synthetic datasets, called the “Subtasks of Unconstrained Face Recognition Challenge” in Leibo, Liao and Poggio (2014) - https://cbmm.mit.edu/publications/conference-abstracts/subtasks-unconstrained-face-recognition

Subjects:

Computing, Data Science and Artificial Intelligence

Keywords:

Human face recognition (Computer science) Optical pattern recognition

Resource Type:

Others
Others

Invariant Action Recognition Dataset

A dataset of five actors performing five different actions (drink, eat, jump, run and walk) on a treadmill from five different views (0, 45, 90, 135, and 180 degrees from the front of the actor/treadmill; the treadmill rather than the camera was rotated in place to acquire from different viewpoints). The dataset was filmed on a fixed, constant background.

Subjects:

Computing, Data Science and Artificial Intelligence

Keywords:

Computer vision Optical pattern recognition Motion perception (Vision)

Resource Type:

Others

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