srch

What is image segmentation? It is a very common computer vision task in which you are asked to assign some label to each pixel in the image, describing if this ...

Use of the LUng Node Analysis Grand Challenge data because it contains detailed annotations from radiologists; Use of the LIDC-IDRI data ...

Unet for Image Segmentation in Keras. Contribute to sidml/Image-Segmentation-Challenge-Kaggle development by creating an account on GitHub.

Carvana Image Masking Challenge | Kaggle. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. By using Kaggle, you agree to our use of cookies. Got it. Learn more.

26.05.2019 · Image Segmentation Challenge. I participated in Kaggle's TGS Salt Identification Challenge. The main aim of this competition was to segment salt deposits in seismic images. Salt bodies are important for the hydrocarbon industry, as they usually form nice oil traps. So there's a clear motivation to delineate salt bodies in the subsurface.

Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources

Inclusive Images Challenge | Kaggle. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. By using Kaggle, you agree to our use of cookies. Got it. Learn more.

Image Segmentation with uNet | Kaggle. Mehedi Hasan · 2Y ago · 419 views.

This image data set contains a large number of segmented nuclei images and was ... in computer vision and machine learning to the segmentation of the nuclei ...

391 dataset results for Kaggle Skin Lesion Segmentation. Lesion Boundary Segmentation Dataset ... 2017 Robotic Instrument Segmentation Challenge.

Create a new Kaggle account (if you don't already have one). Go to the Team tab and set your Team Name = your UMD directory ID (all lowercase, not your number ...

The goal of this Kaggle Challenge, is to accurately segment objects such as car and pedestrian at ...