Model Card for yolov6t
Table of Contents
- Model Details
- Uses
- Bias, Risks, and Limitations
- Training Details
- Evaluation
- Model Examination
- Environmental Impact
- Technical Specifications
- Citation
- Glossary
- More Information
- Model Card Authors
- Model Card Contact
- How To Get Started With the Model
Model Details
Model Description
YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.
- Developed by: [More Information Needed]
- Shared by [Optional]: @nateraw
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Related Models: yolov6s, yolov6n
- Parent Model: N/A
- Resources for more information: The official GitHub Repository
Uses
Direct Use
This model is meant to be used as a general object detector.
Downstream Use [Optional]
You can fine-tune this model for your specific task
Out-of-Scope Use
Don't be evil.
Bias, Risks, and Limitations
This model often classifies objects incorrectly, especially when applied to videos. It does not handle crowds very well.
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recomendations.
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing
[More Information Needed]
Speeds, Sizes, Times
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Model Examination
[More Information Needed]
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
[More Information Needed]
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation
BibTeX:
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APA:
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Glossary [optional]
[More Information Needed]
More Information [optional]
Please refer to the official GitHub Repository
Model Card Authors [optional]
Model Card Contact
@nateraw - please leave a note in the discussions tab here
How to Get Started with the Model
Use the code below to get started with the model.
Click to expand
[More Information Needed]