https://github.com/hariprasath-v/av-dataverse-hack-build-an-ai-model-to-save-lives

Build a computer vision-based technology to process and detect the potholes present in an image.
https://github.com/hariprasath-v/av-dataverse-hack-build-an-ai-model-to-save-lives

albumentations analyticsvidhya cv2 distance exploratory-data-analysis image-analysis imagehash matplotlib numpy object-detection pandas pil pothole-detection python seaborn streamlit-webapp wandb yolov7

Last synced: about 1 month ago
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Build a computer vision-based technology to process and detect the potholes present in an image.

• Host: GitHub
• URL: https://github.com/hariprasath-v/av-dataverse-hack-build-an-ai-model-to-save-lives
• Owner: hariprasath-v
• License: apache-2.0
• Created: 2022-12-19T03:54:29.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-16T11:20:28.000Z (almost 2 years ago)
• Last Synced: 2024-01-28T07:02:51.172Z (11 months ago)
• Topics: albumentations, analyticsvidhya, cv2, distance, exploratory-data-analysis, image-analysis, imagehash, matplotlib, numpy, object-detection, pandas, pil, pothole-detection, python, seaborn, streamlit-webapp, wandb, yolov7
• Language: Jupyter Notebook
• Homepage:
• Size: 90.1 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AV-Dataverse-Hack-Build-an-AI-Model-to-Save-Lives

### Competition hosted on Analyticsvidhya

# About

### Build a computer vision-based technology to process and detect the potholes present in an image.

### This is my first object detection - computer vision hackathon. 

### From the competition starter notebook, I have tried the same PyTorch - fasterrcnn resnet50 fpn object detection model, and without the proper image processing or data augmentation the model not performed well and didn't learn any signals. 

### Final Competition score is 0.0060050745

### Leaderboard Rank is 72/77

### Evaluation Metric is mAP@[.5,.95]

### Post-competition I personally tried the yolo object detection model with wandb logging. The model scored 38%(100*mAP[.5,.95]) on test dataset.

### [Wandb Model logging](https://wandb.ai/hari141v/pothole_detection?workspace=)

### Model demo [Road Pothole Detection Using YOLOv7](https://road-pothole-detection.streamlit.app/)

### File information

 

 * av-dataverse-hack-build-an-ai-model-to-save-lives- EDA.ipynb [![Open in Kaggle](https://img.shields.io/static/v1?label=&message=Open%20in%20Kaggle&labelColor=grey&color=blue&logo=kaggle)](https://www.kaggle.com/code/hari141v/dataverse-hack-build-an-ai-model-to-save-lives-eda)

    #### Basic Exploratory Data Analysis

    #### Packages Used,

        * seaborn

        * Pandas

        * Numpy

        * Matplotlib

        * PIL

        * cv2

        * os

        * distance

        * imagehash

        * time

        * itertools

    #### Extract basic information about the images(width, height, color mode) and analyzed the information through visualization in the following methods.

    

    #### Total pothole wise image samples.

    ![Alt text](https://github.com/hariprasath-v/AV-Dataverse-Hack-Build-an-AI-Model-to-Save-Lives/blob/main/Exploratory%20Data%20Analysis%20Visualization%20Plots/Total%20Pothole%20Wise%20Image%20Samples.png)

    

    #### RGB color distribution analysis.

    ![Alt text](https://github.com/hariprasath-v/AV-Dataverse-Hack-Build-an-AI-Model-to-Save-Lives/blob/main/Exploratory%20Data%20Analysis%20Visualization%20Plots/Image%20and%20RGB%20Color%20Distribution.png)

 

    #### Find the similar images using different hashing algorithms.

         * Average hashing - Total matched images 284

         * Perceptual hashing - Total matched images 80

         * Difference hashing - Total matched images 80

         * Wavelet hashing - Total matched images 280

         * Color hashing - Total matched images 217120

         

    #### From the above various image hashing algorithm, the perceptual hashing, and difference hashing algorithms significantly find similar images based on the hash value.

    

    ![Alt text](https://github.com/hariprasath-v/AV-Dataverse-Hack-Build-an-AI-Model-to-Save-Lives/blob/main/Exploratory%20Data%20Analysis%20Visualization%20Plots/Image%20Similarity%20Perceptual%20Hashing.png)