Computer Vision and Machine Learning Experts
Budget: ₹37,500 – ₹75,000 INR
I'm in need of seasoned professionals who can develop and optimize a detection and tracking system for various vehicles, specifically focusing on cars and bikes. The primary focus of this project is accurate vehicle identification.
Computer Vision Engineer:
- Must have proficiency in Python, OpenCV, and deep learning frameworks like TensorFlow or PyTorch.
- Extensive experience with object detection models (especially YOLO series) and tracking algorithms (DeepSORT or ByteTrack) is crucial.
- Tasked with developing the core detection and tracking logic. This includes ensuring accurate vehicle identification, direction tracking, and swift response to capture high-speed vehicles.
Machine Learning Engineer:
- Should have a strong background in model training and optimization, particularly for custom object detection.
- Will be responsible for training or fine-tuning models to enhance detection accuracy, especially for the specified vehicle types and in high-speed environments.
- Experience with optimizing models for deployment on edge devices is needed, particularly with NVIDIA Jetson.
Ideal candidates should be able to deliver a highly efficient and precise detection and tracking system. The need for improvements in the current detection model may arise, but the primary goal is to achieve accurate identification of cars and bikes.
Computer Vision Engineer:
- Must have proficiency in Python, OpenCV, and deep learning frameworks like TensorFlow or PyTorch.
- Extensive experience with object detection models (especially YOLO series) and tracking algorithms (DeepSORT or ByteTrack) is crucial.
- Tasked with developing the core detection and tracking logic. This includes ensuring accurate vehicle identification, direction tracking, and swift response to capture high-speed vehicles.
Machine Learning Engineer:
- Should have a strong background in model training and optimization, particularly for custom object detection.
- Will be responsible for training or fine-tuning models to enhance detection accuracy, especially for the specified vehicle types and in high-speed environments.
- Experience with optimizing models for deployment on edge devices is needed, particularly with NVIDIA Jetson.
Ideal candidates should be able to deliver a highly efficient and precise detection and tracking system. The need for improvements in the current detection model may arise, but the primary goal is to achieve accurate identification of cars and bikes.