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Smart-Traffic
ottoykh/Smart-Traffic
Smart-Traffic is a image segmentation model from ottoykh. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This is a machine learning model designed for the Real-Time CCTV road traffic monitoring, use for the road traffic estimation and indexing.
All-time downloads
683
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Repo size
235 MB
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3
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Repo makeup
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At a glance
- Task
- Image Segmentation
- Library
- transformers
- License
- mit
- Model type
- yolov8-seg
- Access
- Public
- Created
- Feb 23, 2024
- Updated
- Feb 25, 2024
- SHA
- 7fde73ca
Model card
From the Hugging Face model README
Model Card for Smart-Traffic
This is a machine learning model designed for the Real-Time CCTV road traffic monitoring, use for the road traffic estimation and indexing.
Table of Contents
Model Details
Model Description
<!-- Provide a longer summary of what this model is/does. -->This is a machine learning model designed for the Real-Time CCTV road traffic monitoring, use for the road traffic estimation and indexing.
- Developed by: Yu Kai Him Otto
- Shared by [Optional]: Yu Kai Him Otto
- Model type: Language model
- Language(s) (NLP): en
- License: mit
- Parent Model: More information needed
- Resources for more information: More information needed
Model Card Authors [optional]
<!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. -->Yu Kai Him Otto, Chan Ka Hin and Leung Yat Long
Model Card Contact
More information needed
How to Get Started with the Model
Use the code below to get started with the model.
<details> <summary> Click to expand </summary>More information needed
</details>- Task
- Image Segmentation
- Library
- transformers
- Type
- yolov8-seg
- License
- mit
- Languages
- en
- Created
- Feb 23, 2024
- Updated
- Feb 25, 2024