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Object_recognition_python_Hazoor S._AI_Expert

Scene recognition using object detection.

1. Caffe must not be used and the OS should be windows 10.

2. Coding help can be taken from online sources.

3. Using the images and their annotations (dataset will be provided by me), train the capsule neural network, Fast-RCNN, Faster RCNN and Mask RCNN.

4. Record validation accuracy for each trained neural network.

5. Using the testing images (also provided by me) detect the objects in the scene.

6. On the basis of objects detected in the scene, predict the scene. Example of the same can be derived from the images shown below. However, in this case there will be more objects to detect in a scene and on that basis the scene has to be recognized.

7. Each image must be tested using all the trained neural networks.

8. Moreover, if none of the scene according to object detection receives above 50% accuracy then the system must show a message ‘don’t know’.

9. All the images tested must be provided in jpeg format in a separate folder with name results.

10. All the codes must be provided in .py format and the code must contain comments that explain each part of the code.

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

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Về Bên Thuê:
( 430 nhận xét ) KANPUR, India

ID dự án: #17462013

3 freelancer chào giá trung bình₹9129 cho công việc này


Have been working with capsule nets for quite some time now, it's a piece of cake for me, can get it done probably in a day! Although I'm pretty much interested in knowing the size and type of your dataset. Thanks. Thêm

₹6666 INR trong 1 ngày
(4 Nhận xét)

I have been working in the field of image recognition and all from last 2 yrs. i think i m a better option for u guys for this peace of work.

₹7222 INR trong 3 ngày
(0 Nhận xét)

- Already trained MobileNet SSD and YOLO in Tensorflow, Faster-RCNN for your task - It can run on Windows 10, speed will depend upon processing power you have. - Rest of task would easily be done with small script i Thêm

₹13500 INR trong 12 ngày
(1 Nhận xét)