High Accuracy YOLOv9 for Surveillance
Budget: $250 – $750 USD
I need a YOLOv9 face detection model trained for surveillance purposes. It's crucial that the model is optimized for high accuracy, even if it means that it may run slightly slower.
Key requirements:
- The model should be based on YOLOv9.
- It should be trained to accurately detect faces in both indoor and outdoor environments.
- Additionally, it needs to be able to detect people and vehicles.
The final model needs to be suitable for both indoor and outdoor surveillance, which will require a good balance between accuracy and processing speed.
Ideal skills for this project include:
- Proficiency in YOLOv9 and related technologies.
- Experience in training models for surveillance purposes.
- An understanding of optimizing models for high accuracy without significant loss of processing speed.
Please include relevant experience and suggestions for how you plan to execute this project in your bid.
Key requirements:
- The model should be based on YOLOv9.
- It should be trained to accurately detect faces in both indoor and outdoor environments.
- Additionally, it needs to be able to detect people and vehicles.
The final model needs to be suitable for both indoor and outdoor surveillance, which will require a good balance between accuracy and processing speed.
Ideal skills for this project include:
- Proficiency in YOLOv9 and related technologies.
- Experience in training models for surveillance purposes.
- An understanding of optimizing models for high accuracy without significant loss of processing speed.
Please include relevant experience and suggestions for how you plan to execute this project in your bid.