Deep PCB To COCO Convertor
2022-05-01International Journal for Research in Engineering Application & Management (IJREAM) 2022Code Available2· sign in to hype
Allena Venkata Sai Abhishek, Genti Sreeja, Dr K S Sudeep
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/avs-abhishek123/DeepPCB-to-COCOOfficialnone★ 9
- github.com/tangsanli5201/DeepPCBnone★ 469
Abstract
Millions of datasets and many models use the input datasets in COCO format. In this paper, we are converting the Deep PCB dataset to COCO format. The Deep PCB is a manufacturing defect data set. It has 1500 image pairs. Each has a template image & a test image. The template image has no defects & corresponding test image that has some defects with the annotations in a text file. The MS COCO (Microsoft Common Objects in Context) dataset is large-scale object detection, segmentation, key-point detection, and captioning. It is widely used for various models. We are trying to convert the deep PCB Manufacturing defect into COCO Format.
Tasks
ClassificationData AugmentationData VisualizationDetecting Image ManipulationImage AugmentationImage ClassificationImage CroppingImage DenoisingImage GenerationImage ManipulationImage Manipulation DetectionImage MattingImage Morphingimage smoothingImage StitchingImage-Variationobject-detectionObject DetectionROI-based image generation