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I will train custom yolo object detection and deep learning models
Computer Vision Developer YOLO, OpenCV, PyTorch, TensorFlow
I am a Computer Vision and AI Engineer specializing in Machine Learning, Deep Learning, OpenCV, YOLO, PyTorch, and TensorFlow. I develop intelligent solutions for object detection, image classificatio...
About this Gig
Need a custom object detection or deep learning model that works in the real world? I build, train and optimize YOLO (YOLOv8 / YOLO11), PyTorch and TensorFlow models on your own dataset, with proof of accuracy and code you can run.
WHAT I BUILD
- Custom YOLO object detection, tracking and counting (images, video, CCTV)
- Image classification and segmentation (CNN, transfer learning)
- OpenCV computer vision pipelines
- Fix overfitting, low mAP or poor accuracy in existing models
- Deployment: REST API (FastAPI), Docker, ONNX export
WHAT YOU GET
- Trained weights + clean, commented Python code
- Metrics report: mAP, precision, recall, F1, confusion matrix
- Inference script for images, video and live camera
HOW IT WORKS: you share your dataset and goal, I check data quality, train, tune and validate, then deliver results and support.
TECH STACK: Python, PyTorch, TensorFlow, Keras, Ultralytics YOLO, OpenCV, scikit-learn, Google Colab
Message me before ordering with your use case and dataset size, and I will recommend the right package.
Programming language:
Python
•
MATLAB
•
SQL
•
Colab
•
MLflow
Tools:
Jupyter Notebook
•
OpenCV
•
OpenNN
•
TensorFlow
•
SimpleCV
•
CVAT
•
Colab
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
•
TensorFlow
FAQ
Can you train a custom YOLO model on my own dataset?
Yes. Send your images and labels (YOLO, COCO or Pascal VOC format). I train a YOLOv8 or YOLO11 model on your data, validate it, and deliver the weights, code and an accuracy report.
I have images but no labels. Can you annotate my dataset?
Yes, with the Image Annotation extra. I label your images (bounding boxes or segmentation), check label quality, then train on the cleaned dataset. Message me your image count for a quote.
Can you improve the accuracy of my existing deep learning model?
Yes. Share your code, model and dataset. I diagnose overfitting, class imbalance and weak features, then improve results with better augmentation, tuning or architecture. Best with the Standard package.
How will I know the model works? Which metrics do you report?
You get mAP, precision, recall, F1, PR curves and a confusion matrix measured on a held-out test set, plus sample predictions on your own images or video.
Do you build real-time detection, tracking and counting for video or CCTV?
Yes. I deliver inference scripts for images, video files, webcams and RTSP/CCTV streams. Object tracking and counting are included in the Standard and Premium packages.
Can you deploy my model as an API or on the cloud?
Yes. Premium includes a FastAPI REST endpoint with Docker and a one-time cloud deployment to your server (AWS, GCP or Azure). Other packages can add cloud deployment as an extra.
Which frameworks, tools and YOLO versions do you use?
Python, PyTorch, TensorFlow/Keras, Ultralytics YOLO (YOLOv8, YOLO11 and newer), OpenCV, scikit-learn, ONNX and TFLite. I also work with Roboflow and Google Colab workflows.
Can I use the trained model in a commercial product?
You receive the full source code and trained weights for your project. Note that Ultralytics YOLO uses the AGPL-3.0 license, so closed-source commercial use may need a license from Ultralytics. I can advise on alternatives.
