Annotated images taken from the video feed from traffic cameras (archives)

Images extracted from the recordings of [road observation cameras] (http://ville.montreal.qc.ca/circulation/) accompanied by annotations for semantic segmentation and for object detection.

For semantic segment, each source traffic image is accompanied by an image containing the semantic segmentation. The segmentation includes 13 classes: posts, traffic signs, vehicles, vehicles, vegetation, vegetation, vegetation, medians, buildings, private spaces, sidewalks, paths, pedestrians, pedestrians, structures, structures, construction, nothing.

For object detection, a .xml file containing the location of the objects (i.e. surrounding frame) is provided with each traffic image. The annotation has 5 classes: vehicles, pedestrians, construction objects, cyclists, and buses.

Data and Resources

Additional Info

Field Value
Last Updated April 17, 2026, 18:27 (UTC)
Created April 17, 2026, 18:27 (UTC)
contact_email donneesouvertes@montreal.ca
contact_person {"en": "Ville de Montréal", "fr": "Ville de Montréal"}
criticality_level []
data_dictionary ["transport"]
geographic_scope []
open_canada_collection federated
open_canada_date_published 2020-10-26 00:00:00
open_canada_keywords {"en-t-fr": ["Algorithm", "Machine learning", "Deep learning", "Deep learning", "Artificial intelligence", "Machine learning", "Mobility", "Research", "STI", "Segmentation", "Urban frame"], "fr": ["Algorithme", "Apprentissage automatique", "Apprentissage profond", "Deep learning", "Intelligence artificielle", "Machine learning", "Mobilité", "Recherche", "STI", "Segmentation", "Trame urbaine"]}
open_canada_subject ["transport"]
sensitivity_level unrestricted
title_fr Images annotées extraites du flux vidéo des caméras de circulation (archives)
update_frequency not_planned