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Synthetic Data for Basic Computer Vision Problems

In: Synthetic Data for Deep Learning

Author

Listed:
  • Sergey I. Nikolenko

    (Synthesis AI
    Steklov Institute of Mathematics)

Abstract

It is time to put the pedal to the metal: starting from this chapter, we will discuss the current state of the art in various aspects of synthetic data. This chapter is devoted to basic computer vision problems: we begin with low-level problems such as optical flow estimation and stereo image matching, proceed to datasets of basic objects that can be used to train computer vision models, discuss in detail the case study of synthetic data for object detection, and finish with several different use cases such as synthetic datasets of humans, OCR, and visual reasoning.

Suggested Citation

  • Sergey I. Nikolenko, 2021. "Synthetic Data for Basic Computer Vision Problems," Springer Optimization and Its Applications, in: Synthetic Data for Deep Learning, chapter 0, pages 161-194, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-75178-4_6
    DOI: 10.1007/978-3-030-75178-4_6
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