MIT CSAIL

6.S058: Introduction to Computer Vision

Spring 2026
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Course Overview

This course provides an introduction to computer vision, covering topics from early vision to mid- and high-level vision, including low-level image analysis, edge detection, image transformations for image synthesis, methods for 3D scene reconstruction, motion analysis and tracking. Additionally, presents basics of machine learning, convolutional neural networks, and transformers in the context of image and video data for object classification, detection, and segmentation.

Announcements

Midterm Exam Time and Location

Date: March 19, 2026, 2:30pm-4:00pm

Rooms:

We will be holding a review session for the midterm exam on March 16th from 7pm-9pm in Room 34-101. Be sure to bring questions you have about the course content! Any materials presented during the review session will be made available afterwards.

To help you study for the upcoming midterm, we have made available last year's exam and solutions. We encourage you to use these resources as you prepare for the midterm, and to reach out if you have any questions or need further clarification on any of the topics covered in the exam. Good luck with your studies!

Due to the ongoing effects of the winter storm, MIT campus will be closed tomorrow and we will cancel lecture on Feb. 24. While you will not be responsible for the content of tomorrow's planned lecture on an exam, we will share the slides as an additional resource for your reference. We think that they may be helpful as you work on your final project and do research outside of the course.

Make sure to check out the course info below, as well as the schedule for updates. The course units are 4-0-11 (Undergraduate Level, CI-M Subject). The prerequisites of this course are (18.06 or 18.C06), and (6.1200, 6.3700, 6.3800, 18.05, or 18.600). Good luck with your semester!

Classroom recordings will be posted here.

Course Information

Time and Classroom

2:30 pm - 4:00 pm every Tuesday and Thursday in 6-120.

Course Instructors

Bill Freeman
Kaiming He
Vince Monardo

CI-M Instructors

Sarah Bates


Katie Bruner


Nicole Cunningham-Frisbey
Ryan Robinson


Robert Rowan


Kristen Starkowski

Teaching Assistants

Please use the course Piazza page for all communication with the teaching staff.

Kathy Choi

Ali Cy

Tessa Everett

Hannah Gao

Young Lee

Tim Neumann

Krishna Parvataneni
Lukas Rapp

Lana Xu

Ning Zhang

Office Hours (All times in ET), starting in Week 2

Which instructor/TA for which OH is tracked on the TA OH calendar.

Please direct all problem set questions to TAs rather than instructors!

Instructors

Bill: Friday, 5pm-6pm in 45-741F
Kaiming: Monday, 9am-10am in 45-701H
Vince: Wednesday, 1pm-2pm in 24-316

TAs

All TA OH will be in Room 24-321; see: the TA OH calendar.

Grading Policy

Psets: 32% (4 psets, 8% each)
Midterm exam: 20%
Final exam: 20%
Final project: 28%
 • Preparatory assignment: 2%, graded by CI-M instructors.
 • A review of an article: 5%, graded by CI-M instructors.
 • Draft report introduction: 5%, graded by CI-M instructors.
 • Final report: 8% graded by CI-M and 8% graded by technical instructors.
CI-M participation: required for MIT undergraduates.