Closed srishilesh closed 2 years ago
@lalith1403
As we had discussed via Slack - regarding #5067 , I have created this new issue - which becomes the "Part 1" of #5067
Great topic 🚀 , make sure it matches the following:
Please reference any relevant EngEd articles in yours and build a unique project - Approved. @srishilesh
Topic Suggestion
Machine Learning
Writing sample(s):
https://www.section.io/engineering-education/authors/srishilesh-p-s/
Proposal Submission
Proposed title of article
Understanding PASCAL VOC and COCO datasets
Proposed article introduction
Object detection refers to the capability of computer systems to locate desired objects in an image/scene and identify each object. For detection of objects, the training data are either represented using XML files or JSON files. Each representation has it's pros and cons.
In this article, we will be looking at what PASCAL VOC and COCO are, understand the history behind it, how it helps with object detection, which meta-data helps solving detection and segmentation problems, and finally understand the difference between them.
Key takeaways
Article quality
This article would deal with explaining explaining, comparing and contrasting the different representation of datasets that we use for detection and segmentation problems. The reader will understand how these representations makes it easier for annotation.
References