road lane warning systems, using concepts of computer vision with modules such as OpenCV library and deep learning -- 2


I’m building a road lane warning systems, using concepts of computer vision with modules such as OpenCV library and deep learning, a system that uses Machine learning to monitor lane markings and detect when a vehicle is moving out of its lane, a warning system (such as an audio, visual, vibration, or other alert) will notify the motorist of the unintended lane change so the motorist would be able to manoeuvre the vehicle back into its initial lane.

Steps done so far :


Project Proposal

Data set selection and preparation

I have generated my own dataset (977 images)

Data pre-pre-processing

I have pre-processed my data (resizing all the images using OpenCV 184 x 184 size ).

Data Augmentation

This project initially had the original dataset in the ratio of 100:19 as positive to negative class ratio. To balance them appropriately and not generate heavily duplicated data, only 19% of the positive class images have been augmented with Snow cover, Rain cover, Cloud cover and Fog. While, all the augmentations have been applied to all the images in the negative class images. After augmentation all the images have been resized to 184 x 184 size images to keep the image matrix for the deep learning small enough without losing the resolution of the lane markings. After the process was done it resulted in the dataset ratio of 1:1.

Steps pending :

Model Development

This must include an introduction on the tools and infrastructure selected (cloud, Tensorflow etc.). This section should be a maximum of 1000 words plus visualizations and tables. This also must discuss the development of the model, from initial investigations to the final refined version

o Tool/infrastructure selection and rationale (could be multiple):


▪ Tensorflow, Scikit-learn, Tableau, PowerBI

o Model Development:

▪ ML algorithm selection

▪ ANN topology

▪ Selection criteria (10FCV, Loss, Accuracy, Sensitivity, Gridsearch)

Performance and Model Outcome

The results should present the results of the experiment/tool. The results should also include techniques used to validate the model/show that it would generalize. The selection of these techniques should also be detailed (with numerical values included). Usually, the findings should also be visualized and/or presented in a tabular manner. The performance should be briefly discussed here. This section should be a maximum of 1000 words plus visualizations and tables.

Because of the pressure, complexity, and lack of time I am finding it difficult to complete this project by myself.

Therefore, I am looking for assistance and willing to pay for it.

I look forward to hearing from you.

Beceriler: Machine Learning (ML), Yapay Zeka, Neural Networks

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İşveren Hakkında:
( 0 değerlendirme ) Prague, Czech Republic

Proje NO: #29475182

Bu iş için 6 freelancer ortalamada €784 teklif veriyor

(32 Değerlendirme)

Hi, I saw that you need help with Machine Learning (ML), Neural Networks and Artificial Intelligence. I have 9 years of experience working on these frameworks. I believe I can help you with it. I would request you to h Daha Fazla

€750 EUR in 19 gün içinde
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hello sir, i am highly interested in your project. i have gone through your requirements and i believe i can be a valuable asset for your project. i am an expert in machine learning, deep learning and computer vision i Daha Fazla

€250 EUR in 3 gün içinde
(6 Değerlendirme)

Hi, i am having 3+ years of experience in applications development and software development, also done various projects related to machine learning and deep learning ( artificial intelligence ), Android development. H Daha Fazla

€556 EUR in 30 gün içinde
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I am a co-founder of an artificial intelligent software startup that works on face recognition, speech recognition,pattern recognition and other AI stuff, I have worked on many algorithms and have applied for the paten Daha Fazla

€1500 EUR in 7 gün içinde
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Written research papers on this topic. Know related previous works and also the difficulties in such projects and how to overcome them. My research area is deep learning, computer vision and image processing. I am free Daha Fazla

€900 EUR in 10 gün içinde
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