TechRxiv
_LARGE__bf_Mask_R_CNN_with_data_augmentation_for_food_detection_and_recognition.pdf (4.21 MB)
0/0

Mask R-CNN with data augmentation for food detection and recognition

Download (4.21 MB)
preprint
posted on 18.03.2020 by Than Le
In this paper, we focus on simple data-driven approach to solve deep learning based on implementing the Mask R-CNN module by analyzing deeper manipulation of datasets. We firstly approach to affine transformation and projective representation to data augmentation analysis in order to increasing large-scale data manually based on the state-of-the-art in views of computer vision. Then we evaluate our method concretely by connection our datasets by visualization data and completely in testing to many methods to understand intelligent data analysis in object detection and segmentation by using more than 5000 image according to many similar objects. As far as, it illustrated efficiency of small applications such as food recognition, grasp and manipulation in robotics

History

Email Address of Submitting Author

than.ld@ieee.org

ORCID of Submitting Author

https://orcid.org/0000-0002-7551-0756

Submitting Author's Institution

University of Bordeaux, France and Ton Duc Thang University, Vietnam

Submitting Author's Country

Viet Nam

Licence

Exports

Licence

Exports