https://github.com/karenwky/computer_vision_closetai
fashion segmentation & classification project with Mask R-CNN
https://github.com/karenwky/computer_vision_closetai
deep-learning deepfashion2 image-segmentation mask-rcnn
Last synced: 6 months ago
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fashion segmentation & classification project with Mask R-CNN
- Host: GitHub
- URL: https://github.com/karenwky/computer_vision_closetai
- Owner: karenwky
- License: other
- Created: 2019-10-19T07:00:58.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2024-09-30T03:07:22.000Z (about 1 year ago)
- Last Synced: 2025-03-24T15:11:13.384Z (7 months ago)
- Topics: deep-learning, deepfashion2, image-segmentation, mask-rcnn
- Language: Python
- Homepage:
- Size: 9.57 MB
- Stars: 6
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Computer Vision: ClosetAI
Combining the techniques of Object Detection and Instance Segmentation, using deep learning model Mask R-CNN in clothes retrieval. Various medias such as clothing image and street fashion video can be analyzed by the model. Also, ClosetAI can generate business intelligence analysis in giving you a popular fashion items report.
## Data Source
[DeepFashion2 Dataset](https://github.com/switchablenorms/DeepFashion2/) which contains including 191,961 training images and 32,153 validation images. Json files of image information such as annotations and category names are also provided.
## Demo Video
https://www.youtube.com/watch?v=JSrxAmX793k
## Skills Acquired
* Deep Learning: Computer Vision, Keras
* Flask: deploy the machine learning model as a web application, classifying clothes in the uploaded image
* Git LFS: upload large file greater than 100MB to GitHub using terminal command, self-written tutorial can be found [here](./Git_LFS.md)
## Citations
```
@article{DeepFashion2,
author = {Yuying Ge and Ruimao Zhang and Lingyun Wu and Xiaogang Wang and Xiaoou Tang and Ping Luo},
title={A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images},
journal={CVPR},
year={2019}
}
```
```
@misc{matterport_maskrcnn_2017,
title={Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow},
author={Waleed Abdulla},
year={2017},
publisher={Github},
journal={GitHub repository},
howpublished={\url{https://github.com/matterport/Mask_RCNN}},
}
```
## Acknowledgements
This project cannnot be accomplished without references from below repositories and blog post. Thank you coders for sharing your experience! =]
* [switchablenorms/DeepFashion2](https://github.com/switchablenorms/DeepFashion2/)
* [matterport/Mask_RCNN](https://github.com/matterport/Mask_RCNN)
* [akTwelve/tutorials](https://github.com/akTwelve/tutorials/blob/master/mask_rcnn/MaskRCNN_TrainAndInference.ipynb)
* [Tony607/colab-mask-rcnn](https://github.com/Tony607/colab-mask-rcnn)
* [chohaku84/np_detect](https://github.com/chohaku84/np_detect/blob/master/api/flask_app.py)
* [technovechno@home:~$](https://technovechno.com/creating-graphs-in-python-using-matplotlib-flask-framework-pythonanywhere/)