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$
USD
I will build image classification, object detection and face recognition ai model
LLM Data Science and Full Stack Expertise and Where Code do chats
Hi there! I’m a tech enthusiast with skills in LLMs (Large Language Models), Data Science, and Full Stack Web Development. I love working on projects involving machine learning, deep learning, and cha...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Are you looking for a Computer Vision expert to build a custom Image Classification,
Object Detection, or Face Recognition system? You've found the right seller.
I specialize in building production-ready deep learning models using PyTorch, TensorFlow,
YOLOv8/YOLOv9, and OpenCV trained on your data and delivered with clean,
documented Python code.
WHAT I BUILD FOR YOU:
Image Classification
- Custom CNN or fine-tuned ResNet, EfficientNet, ViT models
- Multi-class and multi-label classification
- High-accuracy models
Object Detection
- Real-time detection with YOLOv8 / YOLOv9 / Faster R-CNN
- Custom class training on your dataset
- Video and live-stream detection
Face Recognition
- Detection, alignment, and recognition pipelines
- DeepFace, FaceNet, ArcFace-based systems
- Real-time webcam
Complete Pipeline Services
- Data collection, labeling guidance & augmentation
- Model training, evaluation & optimization
- REST API deployment (FastAPI / Flask)
- ONNX export
WHY CLIENTS CHOOSE ME:
3+ years of hands-on ML/DL experience
Certified by DeepLearning.ai
Every delivery includes code, model file, requirements.txt & evaluation report
Message me before order please.
My Portfolio
FAQ
How many classes you can classify with machine learning?
Up to 1000 classes can be classified with Machine Learning!
Can you customize facial recognition system for any living animal?
Yes! I can with proper given datasets.
Can you build a facial recognition system for attendance?
Yes. Of course, I can build a facial recognition system for attendance.
What frameworks do you use for building these models?
I primarily use PyTorch and TensorFlow/Keras. For object detection I use YOLOv8/YOLOv9, and for classification I fine-tune models like ResNet, EfficientNet, and ViT depending on accuracy requirements.
Do I need to provide my own dataset?
Not necessarily. I can work with your data, use open datasets, or help with data collection and augmentation strategies. If you have a small dataset, I apply transfer learning to maximize accuracy.
What format will the model be delivered in?
I deliver models in .pt (PyTorch), .h5 or SavedModel (TensorFlow), and can also export to ONNX for cross-platform deployment. Python inference scripts and requirements.txt are always included.
Can you deploy the model to a cloud or web app?
Yes, in the Premium package I build and deploy via FastAPI or Flask and can host on AWS, GCP, or Hugging Face Spaces. A live demo link is provided for testing.
What accuracy can I expect?
Accuracy depends on data quality and class complexity. With a clean dataset of 500+ images per class, typical accuracy is 90–97%. I always share a full evaluation report (confusion matrix, F1, mAP) with every delivery.
