You will get A deployable real Time Detection and Classification Model.
Project details
You will get a fully trained deep leaarning detection model to get started. These are what to expect:
Fast and Efficient: Compared to traditional methods, YOLO is super speedy, making it perfect for real-time applications. They'll get results quickly without delays.
Real-Time Insights: Imagine their system automatically recognizing objects in a live video stream. This allows them to react and make decisions based on what's happening in real-time.
Improved Accuracy: YOLO models are known for good accuracy in object detection. This means they can trust the system to identify objects correctly in their videos.
Scalability: This system can potentially be applied to various scenarios involving live video. They can explore using it for security monitoring, traffic analysis, or even automated processes.
In summary, this YOLO-based system provides real-time object detection with speed and accuracy, opening doors for exciting applications in their field.
Fast and Efficient: Compared to traditional methods, YOLO is super speedy, making it perfect for real-time applications. They'll get results quickly without delays.
Real-Time Insights: Imagine their system automatically recognizing objects in a live video stream. This allows them to react and make decisions based on what's happening in real-time.
Improved Accuracy: YOLO models are known for good accuracy in object detection. This means they can trust the system to identify objects correctly in their videos.
Scalability: This system can potentially be applied to various scenarios involving live video. They can explore using it for security monitoring, traffic analysis, or even automated processes.
In summary, this YOLO-based system provides real-time object detection with speed and accuracy, opening doors for exciting applications in their field.
Machine Learning Tools
Keras, Python, PyTorch, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$80
|
Standard
$90
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 4 days | 3 days | 3 days |
Number of Revisions | 3 | 3 | 3 |
Number of Model Variations | 3 | 3 | 3 |
Number of Scenarios | 3 | 3 | 3 |
Number of Graphs/Charts | 10 | 10 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Agbaje
Computer Vision Engineer || Data Science | Machine Learning
Akure, Nigeria - 10:46 pm local time
My proficiency extends to the exciting field of Machine Learning, where I have gained significant experience. I have a deep understanding of various ML algorithms and techniques, including both supervised and unsupervised learning. Whether it's regression, classification, or clustering tasks, I possess the necessary skills to develop effective ML models tailored to your specific needs.
When it comes to deep learning, I have a strong command of TensorFlow and Keras, two of the most popular frameworks for building neural networks. I can design and train deep learning models to tackle complex problems, such as image recognition, natural language processing, and more. My expertise in these frameworks ensures efficient model training and optimal performance.
Additionally, I am well-versed in the field of object detection, and I employ the state-of-the-art YOLO (You Only Look Once) algorithm to accurately identify objects within images or videos. By leveraging YOLO's real-time capabilities, I can help you detect and track objects efficiently,
Steps for completing your project
After purchasing the project, send requirements so Agbaje can start the project.
Delivery time starts when Agbaje receives requirements from you.
Agbaje works on your project following the steps below.
Revisions may occur after the delivery date.
Review Code
Review, update and make output much more efficient until satisfaction is met.