NLI_hackathon17

The code used in the NLI hackathon, 23-24/11/2017 for generating image metadata: face recognition, emotion deteection, age&gender estimation, object detection, year of picutre estimation & textual description

Algorithms:

• Face recognition:

  • Extracted facess locations with the HOG algorithm
  • Extracted deep features (Using a convolutinal Neural Net) for each face
  • Used K-Nearest Neighbors (with supporting ball-tree structure) to find similar faces in our data.

• Age,Gender&Emotion, Object recogintion: with a CNN trained for each metada field.

• Textual Description: Using the above meta-data and the nlp library simplenlg.

Team members:

• Itamar Shenhar [email protected]
• Gil Maman [email protected]
• Dani Rubin [email protected]
• Tom Guter [email protected]