Object Detection: New Model Development

I'm looking for a skilled data scientist or machine learning engineer to help me in developing a new object detection model. Here's what the project entails:

- **Objective**: The primary goal of this project is to create a robust object detection model that can accurately classify and locate pedestrians in images.

- **Data Availability**: You'll be working with image data specifically for this project. Therefore, your experience with image processing and deep learning techniques would be crucial.

- **Model Development**: You'll be required to develop this new model from scratch, ensuring that it outperforms our current system. Having a strong background in developing object detection models like SSD (Single Shot MultiBox Detector) would be beneficial.

- **Data Augmentation**: As part of ensuring the accuracy and reliability of the model, you may need to perform data augmentation. Your experience in this area would be valuable.

Ideal candidates for this project should have:
- Proficiency in image data processing and deep learning
- Previous experience in developing object detection models, particularly with a focus on pedestrians
- Knowledge of SSD architecture
- Experience with data augmentation in the context of deep learning

If you think you have the expertise required to ace this task, please don't hesitate to apply. Your skill set and experience could be exactly what we need.