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Week 3 Report Misrak Seifu, Wesna Lalanne Mentor: Mahdi M. Kalayeh.

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Presentation on theme: "Week 3 Report Misrak Seifu, Wesna Lalanne Mentor: Mahdi M. Kalayeh."— Presentation transcript:

1 Week 3 Report Misrak Seifu, Wesna Lalanne Mentor: Mahdi M. Kalayeh

2 Overview of week 3  Reading relevant papers  Starting the data collection process  Establishing our definition of Selfie  Creating the initial list of attributes  Getting familiar with face detection code

3 Samples of the collected dataset

4 Definition of Selfie  Oxford Definition: A photograph that one has taken of oneself, typically one taken with a smartphone or webcam and uploaded to a social media website.  Our Definition: A facial portrait that one is taken of himself/herself, or a group of people in which he/she is included.

5 Initial List of attributes  Race  Asian  Black  White/Hispanic/Pale  Indian  Gender  Female  Male  Hair  Black  Blonde/Blond  Brown  Gray  Curly/Wavy/Afro  Straight  Braid  Bangs  Facial Attributes  Smiling  Frown  Eyes open  Eyes closed  Eyeglasses  Sunglasses  No eyewear  Mustache  No beard  Shiny skin  Rosy cheeks  Lipstick  Eye makeup  Teeth not visible  Teeth visible  Mouth closed  Mouth open  Tongue out  Duck face  Face Shape  Oval  Round  Round jaw  Square face  Age  Baby  Child  Youth  Middle aged  Senior  Lighting  Harsh lighting  Soft lighting

6 Single Face detection

7 Multi-person Face detection

8 Plan for week 4  Finalizing the attributes list  Creating GUI for annotating the dataset  Annotating a subset of the collected dataset  Tuning the parameters of the face detector  Extracting faces from the subset of the collected dataset


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