learnings from founding a computer vision startup: chapter 0 introduction

14
Learnings from founding a computer vision startup Till Quack (kooaba) & Jan Erik Solem (Polar Rose)

Upload: till-quack

Post on 19-May-2015

1.024 views

Category:

Technology


0 download

TRANSCRIPT

Page 1: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Learnings from founding a computer vision startup

Till Quack (kooaba) & Jan Erik Solem (Polar Rose)

Page 2: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Founded 2006, 10 employeesFounders: Herbert Bay, Till Quack, Luc Van GoolLocation: Zürich, Switzerland

Object recognition for consumer applicationsOn mobile and web

Spin-off from ETH ZürichStill close relations to ETH

Page 3: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

kooaba makes images smarter

Mobile Search (since 08/09)

Auto-tagging (Q2 2010)

(more about products during talk)

Page 4: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Till Quack

PhD with Prof. Luc van Gool (graduated in 2009)

Research interests: Object Recognition + Internet + Mobile

kooaba founded during PhD

Interests in innovation, product design etc.

Two former companies (e.g. mosaickr.com with T. Weise and S. Saur. Sold in 2010.)

Page 5: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Founded 2004, 15 employeesMalmö, Sweden: HQ, management, computer vision

Warsaw, Poland: products, infrastructure

Sophia-Antipolis, France: computer vision

Spin-off from Lund University.

Page 6: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Face recognition for mobile, desktop and web

Page 7: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Jan Erik Solem

PhD with Profs. Anders Heyden and Fredrik Kahl(graduated in 2006)

Research interests:large-scale vision, object recognition and visual retrieval

Polar Rose founded during PhD

Interests in entrepreneurship, Web and mobile

Page 8: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

What to expect

Page 9: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Flickr:kate at yr own risk

What we learned along the way

Page 10: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Flickr:Pete Prodoehl

What’s special about Vision startups

Page 11: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Discussion between JES and TQ - and you

Flickr: Katie Stine

Page 12: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Lots of pointers to resources

Flickr:Ramkarthikblogger

Page 13: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Lear

ning

s fr

om fo

undi

ng a

Com

pute

r Vis

ion

Star

tup

Syllabus1. Why a startup? JES / TQ 215-230

2. The business idea JES/TQ 230-245

3. Business plan: what and who to write it for? JES 245-300

4. Team JES 300-315

5. Funding: who and how to ask for money JES 315-330

Coffee Break 330pm-4pm

6. Product design: finding out what people really want TQ 400-430

7. Business models: how to make money? TQ 430-450

8. Software engineering: doing research vs. delivering a product TQ 450-520

9. Marketing & sales: getting people to know & buy your products TQ 520-545

10. Competition and positioning: OMG, Google is doing the same thing! JES 545-600

Page 14: Learnings from founding a Computer Vision Startup: Chapter 0 Introduction

Let’s start!