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

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

CI-M Instructors

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: TBD
Kaiming: Monday, 9am-10am
Vince: Wednesday, 1pm-2pm

TAs

Room will be on 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.