You will get image classification, object detection in deep learning
Project details
Our project aims to develop a versatile system for medical diagnosis, plant disease detection, and general object detection and classification using images, videos, and real-time data. Leveraging deep learning techniques, we provide accurate and timely results across healthcare, agriculture, and various other domains, with a focus on real-time processing for swift decision-making.
What I offer:
Deep Learning Services:
Transfer Learning
Multi-model Neural Network
Image Processing
Object Detection
Image Classification
Multi-class Classification
Projects I have developed:
Real-time skin disease detection system using Yolov11 web based app.
Bone Fracture Detection System Using Yolov8 web based app.
Real-time Invasive species plants detection based on CNN.
Real-Time Fire and Smoke Detection Sys.
Brain tumor classification using transfer learning approach.
Plants leaf disease classification based YOLOv9 Model.
Citrus leaf disease classification using one shot object detection.
Alzheimer's disease detection and identification using deep CNNs.
For any medical or plants disease classification and detection related projects Contact me
*Please contact Before Order *
What I offer:
Deep Learning Services:
Transfer Learning
Multi-model Neural Network
Image Processing
Object Detection
Image Classification
Multi-class Classification
Projects I have developed:
Real-time skin disease detection system using Yolov11 web based app.
Bone Fracture Detection System Using Yolov8 web based app.
Real-time Invasive species plants detection based on CNN.
Real-Time Fire and Smoke Detection Sys.
Brain tumor classification using transfer learning approach.
Plants leaf disease classification based YOLOv9 Model.
Citrus leaf disease classification using one shot object detection.
Alzheimer's disease detection and identification using deep CNNs.
For any medical or plants disease classification and detection related projects Contact me
*Please contact Before Order *
Machine Learning Tools
ChatGPT, NumPy, OpenCV, pandas, Python, PyTorch, SciPy, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$380
|
|---|---|---|---|
| Delivery Time | 4 days | 10 days | 15 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
About Adnan
Image Classification and detection in deep learning
Bannu, Pakistan - 1:15 pm local time
Steps for completing your project
After purchasing the project, send requirements so Adnan can start the project.
Delivery time starts when Adnan receives requirements from you.
Adnan works on your project following the steps below.
Revisions may occur after the delivery date.
Client Requirement Submission
Client purchases the project and submits all necessary details, including project requirements, goals, and preferences. I'll review the submission to ensure everything is clear before starting the work.