I will do object detection and image classification using python
ML developer
About this Gig
Looking for a reliable Computer Vision expert who can turn your idea into a working model? You're in the right place!
I build real-time object detection & image classification systems using YOLOv8, CNNs, OpenCV, and TensorFlow/Keras from raw data to a deployable model.
Recent Work:
YOLOv8 model detecting pedestrians, vehicles & two-wheelers for road safety mAP50 0.789, built for ESP32-CAM edge deployment.
CNN image classifier identifying 10 tomato diseases at 95.5% accuracy using MobileNetV2 transfer learning.
What I Offer:
- Custom object detection (YOLOv8)
- Custom image classification
- Full pipeline: preprocessing, training, testing, optimization
- Evaluation reports (accuracy, mAP, precision/recall)
- Deployment (Flask/FastAPI, TFLite)
Tools: TensorFlow, Keras, OpenCV, YOLOv8, Python, Google Colab
Why me?
Hands-on experience with real, deployed CV projects not tutorials. Clean, documented code. Fast, professional communication.
Message me before ordering with your dataset/use case I'll be upfront about what's achievable, so there are no surprises.
Programming language:
Python
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
Frameworks:
Scikit-learn
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Keras
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Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
I don't have a dataset — can you still help?
Yes, I can help source or guide you on collecting a suitable dataset, or work with limited data using augmentation techniques.
What format will I receive the final model in?
You'll get the trained model file, evaluation report, and source code. Deployment-ready formats (TFLite, ONNX) available in Premium.
Can you fine-tune a model I already have instead of training from scratch?
Yes, I can fine-tune an existing YOLO or CNN model to improve accuracy on your specific data.
How do I know the model will actually work for my use case?
Message me first with your dataset/requirements — I'll give an honest assessment of what's achievable before you order.

