First ever Kaggle competition - Pneumonia Detection
Github here: https://github.com/varunvprabhu/pneumonia_detection I'd never participated in a Kaggle competition before. So I decided to join one, namely, the RSNA Pneumonia Detection challenge . Briefly, the competition was about developing an AI algorithm that would assist radiologists in pneumonia detection. The dataset training and test images were provided by the competition organizers through Kaggle. Approximately 28000 training images and 1000 test images were provided. Some of the 28000 images had bounding boxes of the locations of pneumonia detections in chest x-rays.(Specifically 8964 images) The 1000 images were un-labeled and one had to post the results of the algorithm after the images were run through that. A score is calculated using the mean taken over the individual average precision of each image in the test dataset. There were 2 ways to go about this. One was through object detection and the other was through segmenta...