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“Re-value the Image” big image data: new face and image recognition engine

Facejiajia印奇讲稿

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Facejiajia印奇讲稿

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Page 1: Facejiajia印奇讲稿

“Re-value the Image” big image data: new face and image recognition engine

Page 2: Facejiajia印奇讲稿

0.81 billion of images uploaded to Internet through 4 top photo websitesIN ONE DAY

Page 3: Facejiajia印奇讲稿

However, no tool is built to really understand and search

all the images.

Page 4: Facejiajia印奇讲稿

computer vision deep learning

“Let people to search a image like search a text in google.”

Mission: “Re-value All the Images”

Page 5: Facejiajia印奇讲稿

What are Images?

“Image is Large. We have to Divide-N-Conquer.”

Face Human OCR

Object

Image

Product

Page 6: Facejiajia印奇讲稿

Recognition & Search

: face recognition platform of Megvii

Detection & Analysis- Pose: Left down- Gender: Female- Race: Asian- Expression: Smile- Beauty: Charming

Page 7: Facejiajia印奇讲稿

: Face Recognition Platform of Megvii

14,744 Apps 40,771,391 Devices 34,384,794,462 Images

(Date: 2014/4/25)

Page 8: Facejiajia印奇讲稿

Face++ leads face recognition with SaaS and enterprise modes.

Page 9: Facejiajia印奇讲稿

What is Image Recognition?

Car

What Details Instance

Page 10: Facejiajia印奇讲稿

“A long way to go!”

What is Image Recognition?

Page 11: Facejiajia印奇讲稿

Who?

“Soft Object > Rigid Object”

What is Image Recognition?

Page 12: Facejiajia印奇讲稿

: Image Recognition Platform of Megvii

“Everyone can recognize” + “Down to the instance” + “Application driven”

Page 13: Facejiajia印奇讲稿

Is “Big Image Data” Coming?

“Image will follow the same path of text.”“Connect Real to Virtual.”

Data Input Data EngineData carrierData carrier

smart phonesurveillance camera

“new camera”wearable devices

“deep learning” “smarter camera”“smarter photo app”“smarter machine”

Data Output

data loop

Page 14: Facejiajia印奇讲稿

“Image Mama" organize large-scale image data.

get the rich context label smartly.

The Key to “Big Image Data”

“megBrain" scalable infrastructure of deep learning.

growth on both theory and engineering.

“Geek the World."

Page 15: Facejiajia印奇讲稿