Pix2Pix

Henriques et al. |

Pix2Pix

Image Analysis

Run
About
API Example

Step 1: Upload your data

Upload Training Images

Drag your file(s) or upload

Your file can be in the following formats:zip

The training data are the images that train pix2pix. The training data should consist of a zipped folder named 'train' that contains 2 sub folders named 'source' and 'target'. Images in the source folder are the original images and images in the target folder should contain the source images' corresponding translated images. Each source and corresponding target image must have the same file name. Images should be .png files

Don’t have a file?

Use our demo data to run

Use Demo Data

Upload Test Images

Drag your file(s) or upload

Your file can be in the following formats:zip

The test data are the images that test your trained model. The test data should consist of a zipped folder named 'test' that contains 2 sub folders named 'source' and 'target'. Images in the source folder are the original images and images in the target folder should contain the source images' corresponding translated images. Each source and corresponding target image must have the same file name. Images should be .png files

Don’t have a file?

Use our demo data to run

Use Demo Data

Step 2: Set Parameters

Augment Training Data

Epochs

100

300

Image type

RGB

Step 3: Complete run profile

Job name - Optional

Train pix2pix to translate one image domain to another image domain. The image transformation requires paired images for training (supervised learning) to learn information from the input image and obtain the equivalent translated image. Model saving and GPU access available soon.

Example use case: in silico cell painting, semantic segmentation, background removal, style transfer.

Technology: Generative Adversarial Network

Citation:

von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0

Released:
Nov-14-2022

Previous Job Parameters

Your previous job parameters will show up here
so you can keep track of your jobs

Results

Parameters