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Duplicate from logasja/mit-adobe-fivek

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Co-authored-by: Jacob Logas <logasja@users.noreply.huggingface.co>

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+ # Audio files - uncompressed
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+ # Image files - uncompressed
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LICENSE.md ADDED
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+ # Adobe MIT
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+ Copyright (C) 2011 Adobe Systems Incorporated
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+ Copyright (C) 2011 Massachusetts Institute of Technology
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+
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+ RESEARCH LICENSE
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+
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+ BY DOWNLOADING, VIEWING OR OTHERWISE EXERCISING ANY OF THE RIGHTS PROVIDED HEREIN TO THE IMAGES PROVIDED IN CONNECTION WITH THIS LICENSE ("IMAGES"), YOU ACCEPT AND AGREE TO BE BOUND BY THE TERMS OF THIS LICENSE.
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+
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+ You are hereby granted permission by Adobe Systems Incorporated ("Adobe") and Massachusetts Institute of Technology ("MIT"), free of charge, to use, copy, modify, merge, publish, distribute and/or sublicense copies of the Images, and to permit persons to whom the Images are furnished to do so, subject to the following conditions:
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+
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+ 1. You may only exercise these rights granted to you solely for your own research purposes, and you shall not exercise any of these rights in any manner that is intended for or directed toward commercial advantage or monetary compensation.
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+
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+ 2. The above copyright notice and this license shall be included in all copies or substantial portions of the Images.
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+ 3. None of the name of Adobe Systems Incorporated, Massachusetts Institute of Technology nor the names of their contributors may be used to endorse or promote products derived from these images without specific prior written permission.
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+ THE IMAGES ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL ADOBE, MIT, ITS LICENSORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE IMAGES OR THE USE OR OTHER DEALINGS WITH RESPECT TO THE IMAGES.
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+
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+ This license and the rights granted herein will terminate automatically upon any breach by you of the terms of this license.
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+
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+ This license constitutes the entire agreement between the parties with respect to the Images licensed hereunder.
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+
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+ # Adobe
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+ Copyright (C) 2011 Adobe Systems Incorporated
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+
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+ RESEARCH LICENSE
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+
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+ BY DOWNLOADING, VIEWING OR OTHERWISE EXERCISING ANY OF THE RIGHTS PROVIDED HEREIN TO THE IMAGES PROVIDED IN CONNECTION WITH THIS LICENSE ("IMAGES"), YOU ACCEPT AND AGREE TO BE BOUND BY THE TERMS OF THIS LICENSE.
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+
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+ You are hereby granted permission by Adobe Systems Incorporated ("Adobe"), free of charge, to use, copy, modify, merge, publish, distribute and/or sublicense copies of the Images, and to permit persons to whom the Images are furnished to do so, subject to the following conditions:
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+
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+ 1. You may only exercise these rights granted to you solely for your own research purposes, and you shall not exercise any of these rights in any manner that is intended for or directed toward commercial advantage or monetary compensation.
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+
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+ 2. The above copyright notice and this license shall be included in all copies or substantial portions of the Images.
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+
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+ 3. Neither the name of Adobe Systems Incorporated nor the names of its contributors may be used to endorse or promote products derived from these images without specific prior written permission.
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+ THE IMAGES ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL ADOBE, ITS LICENSORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE IMAGES OR THE USE OR OTHER DEALINGS WITH RESPECT TO THE IMAGES.
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+
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+ This license and the rights granted herein will terminate automatically upon any breach by you of the terms of this license.
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+
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+ This license constitutes the entire agreement between the parties with respect to the Images licensed hereunder.
README.md ADDED
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+ path: e/train-*
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+ - split: test
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+ task_categories:
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+ - image-to-image
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+ - feature-extraction
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+ language:
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+ - en
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+ annotations_creators:
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+ - expert-generated
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+ license: other # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses
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+ license_name: adobe-mit # If license = other (license not in https://hf.co/docs/hub/repositories-licenses), specify an id for it here, like `my-license-1.0`.
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+ license_link: LICENSE.md
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+ license_details: A custom license developed for this dataset by Adobe and MIT. # Legacy, textual description of a custom license.
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+ tags:
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+ - adobe
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+ - aesthetic
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+ pretty_name: MIT Adobe FiveK
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+ size_categories:
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+ - 1K<n<10K
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+ paperswithcode_id: mit-adobe-fivek
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+ ---
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+
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+ # Adobe FiveK
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+
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+ This is an upload of the Adobe FiveK dataset.
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+ Note that I am not one of the authors of this dataset, if one of the authors would like to take ownership of this repository please reach out to me.
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+ The data provided is not in the original format either.
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+ Due to the massive size of the dataset >1TB I elected to convert all .tif and .dng files to a standard .webp with lossless compression.
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+ Please refer to the dataset homepage for access to the uncompressed versions of the data.
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+
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+ <!-- Provide a longer summary of what this dataset is. -->
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+ We collected 5,000 photographs taken with SLR cameras by a set of different photographers.
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+ They are all in RAW format; that is, all the information recorded by the camera sensor is preserved.
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+ We made sure that these photographs cover a broad range of scenes, subjects, and lighting conditions.
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+ We then hired five photography students in an art school to adjust the tone of the photos.
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+ Each of them retouched all the 5,000 photos using a software dedicated to photo adjustment (Adobe Lightroom) on which they were extensively trained.
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+ We asked the retouchers to achieve visually pleasing renditions, akin to a postcard. The retouchers were compensated for their work.
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+
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+ This dataset was collected for our project on learning photographic adjustments.
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+
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+ - **Acknowledgements:**
374
+ We are grateful to Katrin Eismann and Jeff Schewe for providing invaluable advice and for introducing us to the community of professional photographers.
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+ We thank Todd Carroll, David Mager, Jaime Permuth, LaNola Katheleen Stone, and Damian Wampler for their incredible patience while retouching thousands of photos.
376
+ Special thanks to everyone who contributed their photos to this dataset: without you this work would not have been possible.
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+
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+ - **Funded by:** Foxconn and NSF (0964004) and a gift from Adobe
379
+ - **License:**
380
+ You can use these photos for research under the terms of the following licenses:
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+
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+ 1. License [LicenseAdobe.txt](https://data.csail.mit.edu/graphics/fivek/legal/LicenseAdobe.txt) covers files listed in [filesAdobe.txt](https://data.csail.mit.edu/graphics/fivek/legal/filesAdobe.txt).
383
+ 2. License [LicenseAdobeMIT.txt](https://data.csail.mit.edu/graphics/fivek/legal/LicenseAdobeMIT.txt) covers files listed in [filesAdobeMIT.txt](https://data.csail.mit.edu/graphics/fivek/legal/filesAdobeMIT.txt).
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+
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+ Each photo is labled with the license it is under.
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+
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+ ### Dataset Sources [optional]
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+
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+ <!-- Provide the basic links for the dataset. -->
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+
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+ - **Repository:** https://data.csail.mit.edu/graphics/fivek/
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+ - **Paper:** http://people.csail.mit.edu/vladb/photoadjust/
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+
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+ ## Uses
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+
396
+ <!-- Address questions around how the dataset is intended to be used. -->
397
+
398
+ ### Direct Use
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+
400
+ <!-- This section describes suitable use cases for the dataset. -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Dataset Structure
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+
412
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+
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+ [More Information Needed]
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+
416
+ ## Dataset Creation
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+
418
+ ### Curation Rationale
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+
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+ <!-- Motivation for the creation of this dataset. -->
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+
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+ [More Information Needed]
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+
424
+ ### Source Data
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+
426
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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+
428
+ #### Data Collection and Processing
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+
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+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+
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+ [More Information Needed]
433
+
434
+ #### Who are the source data producers?
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+
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+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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+
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+ [More Information Needed]
439
+
440
+ ### Annotations [optional]
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+
442
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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+
444
+ #### Annotation process
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+
446
+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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+
448
+ [More Information Needed]
449
+
450
+ #### Who are the annotators?
451
+
452
+ <!-- This section describes the people or systems who created the annotations. -->
453
+
454
+ [More Information Needed]
455
+
456
+ #### Personal and Sensitive Information
457
+
458
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
459
+
460
+ [More Information Needed]
461
+
462
+ ## Bias, Risks, and Limitations
463
+
464
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
465
+
466
+ [More Information Needed]
467
+
468
+ ### Recommendations
469
+
470
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
471
+
472
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
473
+
474
+ ## Citation
475
+
476
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
477
+
478
+ **BibTeX:**
479
+
480
+ @inproceedings{fivek,
481
+ author = "Vladimir Bychkovsky and Sylvain Paris and Eric Chan and Fr{\'e}do Durand",
482
+ title = "Learning Photographic Global Tonal Adjustment with a Database of Input / Output Image Pairs",
483
+ booktitle = "The Twenty-Fourth IEEE Conference on Computer Vision and Pattern Recognition",
484
+ year = "2011"
485
+ }
486
+
487
+ ## Dataset Card Authors [optional]
488
+
489
+ @logasja
490
+
491
+ ## Dataset Card Contact
492
+
493
+ @logasja
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