Train different versions of Computer Vision models to achieve higher accuracy (Yolo, FasterR-CNN, etc.)
100 USD I am looking for an experienced ML/DL engineer specializing in computer vision to quickly complete this task.
This task is for you if you confidently work with TensorFlow / PyTorch for training models like Yolo, Faster R-CNN, SSD, EfficientDet, etc.
The dataset is already available. Accompanying scientific publications are also available.
The main essence of the task is to write a model that will show higher accuracy than the publication from 2023 (there mAP20-95 - 65%, we need to achieve at least 70%).
Additionally, train other models for analysis and comparison.
You can either develop a full-fledged project in Python or use Jupyter Notebooks.
It is important that after each training, testing and validation are conducted, and specific examples of the model's work are provided.
We can adjust the specific action plan.
Client's review of cooperation with Illia Antipiev
Train different versions of Computer Vision models to achieve higher accuracy (Yolo, FasterR-CNN, etc.)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
Train different versions of Computer Vision models to achieve higher accuracy (Yolo, FasterR-CNN, etc.)clear task, provided materials, very good communication
thank you for the cooperation 🙂
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Winning proposal5 days100 USD
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
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4 days156 USD
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! 🚀
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