Downloads · 30 days
0
traffic-congestion-classifier
abhash-rai/traffic-congestion-classifier
traffic-congestion-classifier is a image classification model from abhash-rai. Use it when you need a label for an image. It is set up for keras. The card lists the license as cc-by-4.0.
This model is designed for processing grayscale images with duplicated channels (single-channel replication). It requires input images of size 200 by 200 pixels.
Access
Public
Updated Oct 15, 2023
Repo size
685 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h5609 MB · 89%
At a glance
- Task
- Image Classification
- Library
- keras
- License
- cc-by-4.0
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- 3c2b0cbe
Model card
From the Hugging Face model README
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.
Training Notebook
If you're interested in the details of how this model was trained, you can find the training notebook here.
- Task
- Image Classification
- Library
- keras
- License
- cc-by-4.0
- Languages
- en
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023