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