You will get Computer Vision Real Time Object Detection and Classification
Project details
As an AI engineer, I am able to build an advanced/customizable Open-CV image classification and detection model using YOLO or Convolutional Neural Networks (CNN) by leveraging temporal or sequential data. Unlike traditional Models, CNNs/YOLO handle sequences, making them ideal for tasks like video frame analysis, where object movement or context over time is crucial. This setup can improve the accuracy of detection and classification in dynamic scenes.
YOLO MODEL or CNN (Convolutional Neural Networks) can be used for real-time image classification and object detection. CNNs can process images or video frames quickly, making them ideal for applications like facial recognition, autonomous vehicles, and live object tracking. YOLO can be used for customized scenarios.
Note: The video shows a simple demonstration of Model recognizing the bottles, books, scissors, and other things. The model can be trained specifically according to the client's requirements.
YOLO MODEL or CNN (Convolutional Neural Networks) can be used for real-time image classification and object detection. CNNs can process images or video frames quickly, making them ideal for applications like facial recognition, autonomous vehicles, and live object tracking. YOLO can be used for customized scenarios.
Note: The video shows a simple demonstration of Model recognizing the bottles, books, scissors, and other things. The model can be trained specifically according to the client's requirements.
Machine Learning Tools
ChatGPT, GPT-3, Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, SciPy, TensorFlowWhat's included $20
These options are included with the project scope.
$20
- Delivery Time 5 days
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 1
- Model Validation/Testing
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$5About Dilli
Software Development | Machine Learning
Itahari, Nepal - 9:21 pm local time
Programming Languages C/C++, PHP, Javascript, and Python.
Proficient in developing AI-powered applications. Aspiring Researcher in Artificial Intelligence. Medium CS blogs/article writer.
Projects like MedXAI (AI-powered Health Report Translator), Doctor Appointment Web Application, Real-time Video Annotation(Object Detection & Classification YOLO Machine Learning Model), Text Classification and AI Recommendation Products.
Steps for completing your project
After purchasing the project, send requirements so Dilli can start the project.
Delivery time starts when Dilli receives requirements from you.
Dilli works on your project following the steps below.
Revisions may occur after the delivery date.
CONCISE & STRAIGHTFORWARD PROCEDURE
Define Problem: Set classification and detection goals. Collect Data: Use labeled datasets (COCO, VOC). Preprocess: Resize, normalize, augment. Choose Model: Select YOLO version. Train: Fine-tune pre-trained model.