--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': 1930s '1': 1940s '2': 1950s '3': 1960s '4': 1970s splits: - name: train num_bytes: 221261063 num_examples: 1325 download_size: 222265856 dataset_size: 221261063 pretty_name: Dating Historical Color Images task_categories: - image-classification tags: - 'history ' - lam - photography size_categories: - 1K 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. ### Supported Tasks and Leaderboards This dataset is intended to train image classification or regression models to predict the time period in which color photographs were taken. This task could be approached either as a classification task or could be approached as an image regression task. ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits There is a single training split since the original dataset doesn't define a train-test split. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization > Beginning with a collection of approximately 230,000 Flickr images taken prior to 1980, we perform automated removal of monochromatic images. The remaining images are manually inspected to remove non-photographic content (e.g. scans of vintage artwork) and any remaining monochromatic images. Finally, a random subsampling and decimation is performed to create a dataset containing an equal number of historical color images for each decade (1,375 images total). ### Annotations #### Annotation process Annotations are based on metadata available on Flickr. #### Who are the annotators? It appears that annotations are sourced via Flickr, so the annotators are presumed to be those uploading the images to Flickr. This will include individuals as well as cultural heritage institutions. ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@davanstrien](https://github.com/davanstrien) for adding this dataset.