train dataset yolov5 for egyptian plates
Budget: $30 – $250 USD
I am looking for a freelancer to train a dataset using YOLOv5 for Egyptian plates. The requirements for this project are as follows:
Format of the dataset:
- The dataset consists of images.
Number of images for training:
- We have a specific number of images for training the model, which is between 500 and 1000.
Expected accuracy of the model:
- We expect the model to achieve an accuracy level between 80% and 90%.
Ideal skills and experience:
- Proficiency in YOLOv5 and experience in training object detection models.
- Familiarity with Egyptian license plates and the ability to accurately label and annotate the images.
- Strong understanding of computer vision and deep learning algorithms.
- Ability to optimize the model for accuracy and speed.
- Excellent problem-solving skills and attention to detail.
If you have the required skills and experience, please submit your proposal for this project. Thank you.
Format of the dataset:
- The dataset consists of images.
Number of images for training:
- We have a specific number of images for training the model, which is between 500 and 1000.
Expected accuracy of the model:
- We expect the model to achieve an accuracy level between 80% and 90%.
Ideal skills and experience:
- Proficiency in YOLOv5 and experience in training object detection models.
- Familiarity with Egyptian license plates and the ability to accurately label and annotate the images.
- Strong understanding of computer vision and deep learning algorithms.
- Ability to optimize the model for accuracy and speed.
- Excellent problem-solving skills and attention to detail.
If you have the required skills and experience, please submit your proposal for this project. Thank you.