Model Card for BillboardAdvertDetectionYOLOV5
Computer vision object detection model to detect billboard advertising.
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
As the adoption of augmented reality (AR) headsets proliferates, the ways in which consumers will experience content will change considerably, which means a radical shift away from the current state of billboard advertising.
This is to show how to create a computer vision model for applications such as ad-blocking in everyday life.
- Developed by: Lewis James
- Model type: Computer Vision
- Transfer learning from model YOLOv5: Hugging Face
Model Sources
Results
| Class | Images | Instances | P | R | mAP50 |
|---|---|---|---|---|---|
| all | 71 | 99 | 0.805 | 0.828 | 0.818 |
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Model tree for ljamesdatascience/BillboardAdvertDetectionYOLOV5
Base model
Ultralytics/YOLOv5