| Info hash | 71631f83b11d3d79d8f84efe0a7e12f0ac001460 |
| Last mirror activity | 3:37 ago |
| Size | 33.14GB (33,142,609,854 bytes) |
| Added | 2017-07-16 11:39:09 |
| Views | 2037 |
| Hits | 19183 |
| ID | 3787 |
| Type | multi |
| Downloaded | 13821 time(s) |
| Uploaded by |  ods |
| Folder | AVA_dataset |
| Num files | 92 files [See full list] |
| Mirrors | 9 complete, 0 downloading = 9 mirror(s) total [Log in to see full list] |
AVA_dataset (92 files)
 AVA.txt | 12.49MB |
| style_image_lists/train.lab | 38.04kB |
| tags.txt | 0.95kB |
| challenges.txt | 26.98kB |
| style_image_lists/test.jpgl | 22.01kB |
| style_image_lists/train.jpgl | 88.32kB |
| style_image_lists/test.multilab | 81.46kB |
| style_image_lists/styles.txt | 0.22kB |
| aesthetics_image_lists/landscape_test.jpgl | 19.73kB |
| aesthetics_image_lists/fooddrink_test.jpgl | 19.99kB |
| aesthetics_image_lists/animal_train.jpgl | 19.68kB |
| aesthetics_image_lists/cityscape_train.jpgl | 19.56kB |
| aesthetics_image_lists/stilllife_train.jpgl | 19.31kB |
| aesthetics_image_lists/cityscape_test.jpgl | 19.52kB |
| aesthetics_image_lists/portrait_train.jpgl | 19.74kB |
| aesthetics_image_lists/animal_test.jpgl | 19.67kB |
| aesthetics_image_lists/generic_ss_train.jpgl | 19.70kB |
| aesthetics_image_lists/generic_test.jpgl | 157.30kB |
| aesthetics_image_lists/portrait_test.jpgl | 19.70kB |
| aesthetics_image_lists/landscape_train.jpgl | 19.72kB |
| aesthetics_image_lists/generic_ls_train.jpgl | 157.38kB |
| aesthetics_image_lists/architecture_train.jpgl | 19.61kB |
| aesthetics_image_lists/architecture_test.jpgl | 19.61kB |
| aesthetics_image_lists/floral_train.jpgl | 19.77kB |
| aesthetics_image_lists/stilllife_test.jpgl | 19.30kB |
| aesthetics_image_lists/fooddrink_train.jpgl | 19.99kB |
| aesthetics_image_lists/floral_test.jpgl | 19.78kB |
| images/images.7z.031 | 524.29MB |
| images/images.7z.030 | 524.29MB |
| images/images.7z.054 | 524.29MB |
| images/images.7z.064 | 99.06MB |
| README.txt | 3.87kB |
| images/images.7z.059 | 524.29MB |
| images/images.7z.028 | 524.29MB |
| images/images.7z.003 | 524.29MB |
| images/images.7z.032 | 524.29MB |
| images/images.7z.002 | 524.29MB |
| images/images.7z.012 | 524.29MB |
| images/images.7z.043 | 524.29MB |
| images/images.7z.026 | 524.29MB |
| images/images.7z.047 | 524.29MB |
| images/images.7z.056 | 524.29MB |
| images/images.7z.053 | 524.29MB |
| images/images.7z.020 | 524.29MB |
| images/images.7z.057 | 524.29MB |
| images/images.7z.044 | 524.29MB |
| images/images.7z.013 | 524.29MB |
| images/images.7z.040 | 524.29MB |
| images/images.7z.062 | 524.29MB |
Type: Dataset
Tags: images, quality, AVA, DPChallenge, aesthetics, semantic
Bibtex:
Tags: images, quality, AVA, DPChallenge, aesthetics, semantic
Bibtex:
@article{,
title= {AVA: A Large-Scale Database for Aesthetic Visual Analysis},
keywords= {semantic, quality, AVA, DPChallenge, images, aesthetics},
journal= {},
author= {Naila Murray and Luca Marchesotti and Florent Perronnin},
year= {},
url= {},
license= {},
abstract= {Aesthetic Visual Analysis (AVA) contains over 250,000 images along with a rich variety of meta-data including a large number of aesthetic scores for each image, semantic labels for over 60 categories as well as labels related to photographic style for high-level image quality categorization.},
superseded= {},
terms= {}
}
