Published March 5, 2020 | Version 1
Video/Audio Open

Videos of computer vision based recognition/segmentation/classification of materials inside vessels in chemistry lab and other setting

  • 1. Vector institute, Chemistry department , University of Toronto
  • 2. Vector institute, Computer department , University of Toronto

Description

These videos contain materials in vessels in various settings related to the chemistry lab, medical samples and handling liquids in everyday life settings. The region and type of each vessel and material phase found by the computer vision (neural net) are marked in purple, the class of each phase appears above each panel in green (each panel corresponds to a different class). The work is part of the computer vision for the chemistry lab project.

For details on the project see:

https://chemrxiv.org/articles/Computer_Vision_for_Recognition_of_Materials_and_Vessels_in_Chemistry_Lab_Settings_and_the_Vector-LabPics_Dataset/11930004

For Details on the videos See:

https://www.youtube.com/watch?v=K7I2QJcIyBQ&list=PLRiTwBVzSM3B6MirlFl6fW0YQR4TtQmtJ

Basically, the videos contain process such as pouring, mixing, foam formation precipitation, phase separation,  melting freezing, dissolving, etc.., where the region of each vessel and material phase and their type (liquid, solid, powder, suspension, foam) is found by the neural net and marked purple.

For code see:

https://github.com/aspuru-guzik-group/Computer-vision-for-the-chemistry-lab

 

 

 

Files

BloodPlasma.mp4

Files (1.2 GB)

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Additional details

Related works

Is supplement to
Preprint: 10.26434/chemrxiv.11930004.v1 (DOI)