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Train different versions of Computer Vision models to achieve higher accuracy (Yolo, FasterR-CNN, etc.)

Translated100 USD

Client's review of cooperation with Illia Antipiev

Quality
Professionalism
Cost
Contactability
Deadlines

All assigned tasks were completed quickly and efficiently. The results turned out even better than expected. Ilya was always in touch and kept me updated on the project's progress. A wonderful professional, I recommend him for collaboration.

Freelancer's review of cooperation with Oleg Koval

Payment
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Clarity of requirements
Contactability

clear task, provided materials, very good communication
thank you for the cooperation 🙂

  1. 2248    63  2   2
    Winning proposal5 days100 USD

    Hello
    If it is really possible to achieve such accuracy with your data - then I will do it
    I have experience with many models in both classification and object detection

  2. 310  
    4 days156 USD

    👋 Good day!
    I am an ML/DL engineer with experience in computer vision and deep learning. I work with PyTorch and TensorFlow, and I have practice in implementing and optimizing YOLO, Faster R-CNN, SSD, EfficientDet models.

    ✅ Your task is clear: to increase the model's accuracy (mAP ≥70%), conduct experiments with different architectures, and provide results with testing/validation and examples of work.
    ✅ I have experience working with Jupyter Notebook and developing complete projects in Python.
    ✅ I am ready to agree on an action plan and implement the solution within the specified deadlines.

    I would be happy to discuss the details of our collaboration! 🚀

  3. 1 proposal concealed

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Client
Oleg Koval
Ukraine Lvov  1  0
Project published
10 months 2 days back
62 views
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