metadata
license: cc-by-4.0
language:
- en
library_name: keras
pipeline_tag: image-classification
Traffic Congestion Model
This model is designed for processing grayscale images with duplicated channels (single-channel replication). It requires input images of size 200 by 200 pixels.
Classes
The model makes predictions on the following classes:
congested_traffic: Indicates traffic congestion.traffic_unrelated: Indicates an absence of congestion-related traffic.uncongested_traffic: Indicates clear or uncongested traffic conditions.
You can use this model for tasks related to traffic congestion detection and classification.