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Oil spill detection accuracy improvment

I made already a model with a python language (semantic segmentation) to detect the oil spill in the ocean and it is working with no errors and it gives a result but the accuracy is not very good and it gives a false alarm sometimes (it means even if there is no oil spill and there is a land or sun illumination the model mask these objects as an oil spill)

So, the task as follow:

1- Improve the detection accuracy

2- Make the model able to select many images at the same time not one by one, and result must be divided into two folders (true oil spill - no oil spill)

3- Calculate the accuracy by using the F1 method (precision and recall) and represent it on a graph

Kĩ năng: Thuật toán, Machine Learning, Python

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Về Bên Thuê:
( 2 nhận xét ) Cairo, Korea, Republic of

ID dự án: #17925176

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I am a master student of computer science in Canada. I have participated in ACM ICPC programming competitions for over 4 years of my BS degree and I was TA of Algorithms and AI courses for a couple of semesters. I Thêm

$10 USD trong 2 ngày
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7 freelancer đang chào giá trung bình $37 cho công việc này


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$50 USD trong 1 ngày
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Hello, dear! I am interested in your project. I have extensive experience in image processing and computer vision such as feature extraction, segmentation, classification, object detection, image recognition, real ti Thêm

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$70 USD trong 3 ngày
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$25 USD trong 1 ngày
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i have read the instructions. i can Improve the detection accuracy.i can also make the model able to select many images at the same time. I have deep understandings of Machine Learning in all kinds of fields. So I ca Thêm

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