Object Detection Model Training with YOLOV8/MobileNet
Budget: $30 – $250 USD
I'm in need of a seasoned machine learning professional to train an object detection model tailored for detecting people, using a substantial 200GB dataset. The model will be incorporated into a Muslim project currently serving over 25,000 users.
Key Responsibilities:
- Train an object detection model using YOLOV8/MobileNet.
- Address data imbalance issues before training.
- Optimize the model for accuracy and reliability, targeting above 90%.
- Ensure the trained model is exportable to TFJS format.
Skills and Experience Required:
- Proven track record in handling large datasets.
- Expertise in training object detection models.
- Proficiency in data balancing techniques, specifically oversampling and synthetic data generation.
- Experience with YOLOV8/MobileNet.
- Ability to optimize models for high accuracy.
Your expertise in data balancing and model optimization will be crucial to navigate the challenges presented by the dataset and to deliver a reliable model. If you have experience with similar projects, we would love to hear from you.
Key Responsibilities:
- Train an object detection model using YOLOV8/MobileNet.
- Address data imbalance issues before training.
- Optimize the model for accuracy and reliability, targeting above 90%.
- Ensure the trained model is exportable to TFJS format.
Skills and Experience Required:
- Proven track record in handling large datasets.
- Expertise in training object detection models.
- Proficiency in data balancing techniques, specifically oversampling and synthetic data generation.
- Experience with YOLOV8/MobileNet.
- Ability to optimize models for high accuracy.
Your expertise in data balancing and model optimization will be crucial to navigate the challenges presented by the dataset and to deliver a reliable model. If you have experience with similar projects, we would love to hear from you.