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I will do any object detection, segmentation and tracking on any custom dataset
A place where you will find the perfection of work
I'm Shahriar Ahmed, a software developer, having 6 years of experience in this field.
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Has met high performance criteria and has a proven track record for meeting client expectations.
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Known for exceptionally quick replies
About this Gig
I provide end-to-end computer vision solutions using state-of-the-art deep learning models tailored to your specific needs. Whether you need real-time detection, custom dataset training, or deployment-ready systems, I will deliver a high-quality solution with clear documentation and support.
What I Can Do For You
- Custom Object Detection (single or multiple objects)
- Training on your custom dataset
- YOLO (v5, v7, v8, v9, v11), Faster R-CNN, SSD implementations
- Real-time detection (image, video, webcam, CCTV)
- Model fine-tuning and performance improvement
- Data preprocessing & augmentation
- Model evaluation with precision, recall, mAP
- Deployment-ready scripts (API / local / cloud)
What You Will Receive
- Fully trained object detection model
- Clean, well-structured source code
- Performance report (accuracy metrics)
- Inference script for testing
- Clear documentation
- Post-delivery support
Why Choose Me?
- Strong background in Machine Learning & Deep Learning
- Experience working with real datasets
- Clean, efficient, and optimized code
- Clear communication and on-time delivery
- Focus on accuracy and practical usability
APIs:
Azure Face API
Programming language:
Python
•
SQL
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
•
PyTorch
•
Other
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
Other
My Portfolio
FAQ
What type of computer vision projects do you handle?
I specialize in object detection, image classification, image segmentation, and custom computer vision solutions. This includes detecting multiple objects in images or videos, real-time detection systems, custom dataset training, and domain-specific applications such as medical, retail, surveillance
Do I need a dataset before starting the project?
If you already have a dataset, that is great. If not, I can help you with dataset collection guidance, data cleaning, annotation support, and augmentation. We can also discuss using publicly available datasets depending on your project requirements.
Which models and frameworks do you use?
I work with popular and reliable frameworks such as YOLO (v5, v8), Faster R-CNN, SSD, and custom CNN architectures. For development, I use Python with libraries like PyTorch, TensorFlow, and OpenCV. The choice of model depends on your accuracy, speed, and deployment requirements.
Are the models production-ready?
Yes. I can deliver both research-grade prototypes and production-ready solutions. If you need deployment, I can prepare API integration, optimized inference scripts, or export models for cloud, server, or edge devices.
Can you improve or fine-tune an existing model?
Absolutely. I can fine-tune pre-trained models on your custom dataset, improve accuracy, reduce false positives, optimize inference speed, and help debug performance issues in your current system.
Will you explain how the model works?
Yes. I provide a clear explanation of the model architecture, training process, evaluation metrics, and how to use the final solution. Documentation and usage instructions can also be included upon request.
What do you need from me to get started?
To begin, please provide: - A clear description of your project goal - Sample images or videos - Your dataset (if available) - Expected output format - Deployment requirements (if any) The more details you provide, the better the final solution will be.
Is my data confidential?
Yes. Your data and project details remain strictly confidential. I do not share datasets, models, or project information with third parties.
