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Investigation on Data Augmentation for Object Detection Using Deep Neural Network for Traffic Signs Application

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├── Augment.ipynb

├── clean.sh

├── main.sh

├── augment.py

├── data

│   ├── All_images

│   ├── MTSD -> /home/mjiit/Hossam/Datasets/MTSD/

│   └── test

├── del_image.txt

├── del_object.txt

├── faults.txt

├── gt_phase_1_2_after_aug.txt

├── gt_phase_1_after_aug.txt

├── gt_phase_1.txt

├── gt_phase_2_after_aug.txt

├── gt_phase_2.txt

├── gt.txt

├── README.md

└── results

    ├── gt_after_aug.txt

    ├── gt_final.txt

    ├── gt_phase_1_2_after_aug.txt

    ├── gt_phase_1_after_aug.txt

    ├── gt_phase_1.txt

    ├── gt_phase_2_after_aug.txt

    └── gt_phase_2.txt

Citation

@article{Mohamed Elhawary2019,title = {Investigation on data augmentation for object detection using deep neural network for traffic signs application},journal = {Frontiers in Artificial Intelligence and Applications},year = {2019},volume = {318},pages = {144-156},author = {Mohamed Elhawary, H. and Shapiai, M.I. and Zamzuri, H. and Fauzi, H.}} 

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