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I will develop custom computer vision models
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Turn your visual data into actionable intelligence. I specialize in building high-performance Computer Vision solutions that allow machines to see, identify, and understand the world.
Whether you need a real-time object detection system, automated image classification, or a custom OCR engine, I leverage state-of-the-art architectures like YOLO (v8/v10), EfficientNet, and ResNet to deliver results with industry-leading accuracy. From medical imaging to industrial automation, I build vision systems that solve real-world problems.
What I offer:
- Object Detection & Tracking: Real-time identification and movement analysis of specific items or people.
- Custom Model Training: Fine-tuning deep learning models on your specific dataset for niche use cases.
- Image Segmentation: Precise pixel-level masking for medical, agricultural, or satellite imagery.
- OCR & Document AI: Extracting structured data from images, receipts, or handwritten notes.
- Deployment & Integration: Optimizing models for the cloud (AWS/Azure).
I prioritize model efficiency, ensuring your system is fast, lightweight, and accurate. Let's bring sight to your softwa
FAQ
Do I need to provide a labeled dataset?
Ideally, yes. For custom model training (Standard/Premium), a labeled dataset ensures the best results. However, if you only have raw images, I can assist with the annotation process or recommend the best tools to get it done efficiently.
Which version of YOLO do you use?
I typically work with the latest stable versions, such as YOLOv8, YOLOv10, or YOLOv11, depending on your specific needs for speed vs. accuracy. I can also implement other architectures like SSD, Faster R-CNN, or Transformers (ViT) if the project requires it.
What is the expected accuracy of the model?
Accuracy depends heavily on the quality and diversity of the data provided. I aim for the highest possible mAP (mean Average Precision). During the process, I provide detailed performance reports, including confusion matrices and Precision-Recall curves.
Can you handle real-time video streams from IP cameras?
Absolutely. I can develop solutions that integrate with RTSP/RTMP streams to process live video feeds for applications like surveillance, traffic monitoring, or industrial quality control.
Do you provide the training scripts and weights?
Yes. Upon completion, I deliver the full source code (Python/Notebooks), the trained model weights (.pt, .h5, .weights), and clear instructions on how to run or deploy the system
