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New Version of Dataset for IMGCOL and OBJDE

πŸ›  Contribute: Found a typo? Or any other change in the description that you would like to see? Please consider sending us a pull request in the public repo of the challenge here.

πŸ•΅οΈ Introduction

Did you know that until the 1890s, most photos were hand-colored, after the image was clicked? And now in 2021, we are using AI to color the photos!

Given a black and white photo, train your model to color it! Use our starter-code kit and make your first AI model that magically colors the images!πŸ“·

πŸ’Ύ Dataset

The dataset consists of black and white images and there corresponding colored images of size (512,512). The dataset is divided into train and validation sets. The train_black_white_images.zip contains the black and white images of the train set and train_color_images.zip contains the corresponding color images. Similarly for validation_black_white_images.zip and validation_color_images.zip contains b/w and color images for the validation set. 

Each image needs to be converted from grayscale to RGB color mode.

πŸ“ Files

Following files are available in the resources section:

Note: The v2 files for train and validation set are just a subset of the version 1. There is no change in the test images.

  • train_color_images-v2.zip - (20000 samples) This zip file contains the color training images.

  • train_black_white_images-v2.zip - (20000 samples) This zip file contains the gray images, the image filenames is same throughtout the train_color_images-v2.zip and train_black_white_images.zip.

  • validation_color_images-v2.zip - (2000 samples) This zip file contains the color validation images.

  • validation_black_white_images-v2.zip - (2000 samples) This zip file contains the color validation images.

  • test_black_white_images-v2.zip - (5001 samples) This zip file contains the gray images for testing.

  • train_color_images.zip - (40000 samples) This zip file contains the color training images.

  • train_black_white_images.zip - (40000 samples) This zip file contains the gray images, the image filenames is same throughtout the train_color_images.zip and train_black_white_images.zip.

  • validation_color_images.zip - (4000 samples) This zip file contains the color validation images.

  • validation_black_white_images.zip - (4000 samples) This zip file contains the color validation images.

  • test_black_white_images.zip - (5001 samples) This zip file contains the gray images for testing.

πŸš€ Submission

  • Prepare a zip file containing RGB testing images and filenames corresponding with, make sure there is a total of 5001 images! Also do make the zip contains the folder test_back_white_images which contains the images in .jpg.

  •     β”œβ”€β”€β”€submission.zip
            β”œβ”€β”€β”€test_color_images
                    |───848d938b566f5e9c.jpg
                        dab3e432f1ee4ae4.jpg
                        88151486e9421f19.jpg
    

     

  • Sample submission format available at sample_submission.zip in the resources section.

Make your first submission here πŸš€ !!

πŸ–Š Evaluation Criteria

During the evaluation, the average [Mean Squared Error] will be calculated over all the testing images. np.mean((real_img - predicted_img)**2) is the code for calculating MSE for images.

πŸ”— Links

πŸ“± Contact

Notebooks

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Baseline for IMGCOL Challenge
By
ashivani
About 1 month ago
1

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