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Timber Log counting using machine learning. -- 2

This is a small project fgor detecting and counting the timber logs.

Please check the document attached

I have pictures of logs for training I will provide you 100 of pictures having 20-100 logs in each picture you have to annotate and train this model for getting at least 95% accuracy.

I will provide you the pictures if you need more sample pictures.

Only the capable bidder may bid on this and must complete this project within 2-3 days.

Demo should be submitted to get the bid.

Kĩ năng: Machine Learning (ML), Lập trình C++, Lập trình C, Python, OpenCV

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Về Bên Thuê:
( 34 nhận xét ) Kathmandu, Nepal

ID dự án: #31823882

5 freelancer chào giá trung bình$196 cho công việc này

hsh564cf84accd96

We will do your ML work I am writing this proposal in order to work for you in Software and Web Development. We are highly trained professional developers seeking to freelance and earn online. Having a flair in progra Thêm

$150 USD trong 7 ngày
(36 Nhận xét)
5.3
loyidandrews

Hi, How are you? I have 10 years experience in Machine learning ,Deep learning ,NLP and AI. I am very familiar with CNN, RNN, LSTM, SVM , Reinforcement learning, knn, Random Forest, Decision tree, Pytorch, tensorflow, Thêm

$200 USD trong 7 ngày
(15 Nhận xét)
4.8
freelancerIrvan

Hi there, I am a talented python dev, and I think I can handle this task perfectly. Please give me your chance, I look forward to hearing from you. Regards!

$139 USD trong 7 ngày
(3 Nhận xét)
3.9
ngkhoan

Dear Sir! I read your description carefully and checked your attached excel file, too. As I have rich experiences in object detection and counting using deep learning models, I can offer you the excellent result in tim Thêm

$300 USD trong 3 ngày
(13 Nhận xét)
3.1
amehbo

Hello there, Hope you are doing well. I'll be glad to work on your ML project, although your dataset seems to be not sufficiently large. I'd be willing to develop a ML model and optimize it for its best performance. Thêm

$190 USD trong 14 ngày
(1 Nhận xét)
0.0