region:us
This dataset contains color photographs taken between the 1930s and 1970s. 
The goal of the dataset is to develop methods for dating historical color photographs
@inproceedings{10.1007/978-3-642-33783-3_36,
author = {Palermo, Frank and Hays, James and Efros, Alexei A.},
title = {Dating Historical Color Images},
year = {2012},
isbn = {9783642337826},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
url = {https://doi.org/10.1007/978-3-642-33783-3_36},
doi = {10.1007/978-3-642-33783-3_36},
abstract = {We introduce the task of automatically estimating the age of historical color photographs. We suggest features which attempt to capture temporally discriminative information based on the evolution of color imaging processes over time and evaluate the performance of both these novel features and existing features commonly utilized in other problem domains on a novel historical image data set. For the challenging classification task of sorting historical color images into the decade during which they were photographed, we demonstrate significantly greater accuracy than that shown by untrained humans on the same data set. Additionally, we apply the concept of data-driven camera response function estimation to historical color imagery, demonstrating its relevance to both the age estimation task and the popular application of imitating the appearance of vintage color photography.},
booktitle = {Proceedings of the 12th European Conference on Computer Vision - Volume Part VI},
pages = {499–512},
numpages = {14},
location = {Florence, Italy},
series = {ECCV'12}
}
---
dataset_info:
  config_name: '256'
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Albumen photograph
          '1': Bronze
          '2': Ceramic
          '3': Clay
          '4': Engraving
          '5': Etching
          '6': Faience
          '7': Glass
          '8': Gold
          '9': Graphite
          '10': Hand-colored engraving
          '11': Hand-colored etching
          '12': Iron
          '13': Ivory
          '14': Limestone
          '15': Lithograph
          '16': Marble
          '17': Oil on canvas
          '18': Pen and brown ink
          '19': Polychromed wood
          '20': Porcelain
          '21': Silk and metal thread
          '22': Silver
          '23': Steel
          '24': Wood
          '25': Wood engraving
          '26': Woodblock
          '27': Woodcut
          '28': Woven fabric
  - name: Museum
    dtype: string
  - name: Museum-based instance ID
    dtype: string
  - name: Width
    dtype: float32
  - name: Height
    dtype: float32
  - name: Product size
    dtype: float32
  - name: Aspect ratio
    dtype: float32
  splits:
  - name: train
    num_bytes: 441294458.5
    num_examples: 20300
  - name: validation
    num_bytes: 26810584.95
    num_examples: 1450
  - name: test
    num_bytes: 362018531.291
    num_examples: 15657
  download_size: 719959312
  dataset_size: 830123574.7409999
builder_config:
  config_name: '256'
  data_files:
  - split: train
    pattern: 256/train-*
  - split: validation
    pattern: 256/validation-*
  - split: test
    pattern: 256/test-*
---
# Dataset Card for "MAMe"

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