File size: 1,758 Bytes
283b031 e3a76e4 283b031 9b90d9f 76f545e 9b90d9f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: mit
language:
- en
metrics:
- accuracy
pipeline_tag: image-segmentation
widget:
- src: >-
https://tdcctv.data.one.gov.hk/AID01209.JPG
example_title: Road cam 1
---
# 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 Card for Smart-Traffic](#model-card-for--model_id-)
- [Table of Contents](#table-of-contents)
- [Table of Contents](#table-of-contents-1)
- [Model Details](#model-details)
- [Model Description](#model-description)
# 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> |