cff-version: 1.2.0
abstract: "<p>This collection contains feature files where the features are extracted on AmsterTime dataset using various methods and models such as SIFT, LIFT, and pre-trained VGG-16, ResNets, NetVLAD, AP-GeM and supervisely and self-supervisely trained models. The details of feature extraction procedure and other details can be found on https://github.com/seyrankhademi/AmsterTime.<br>
</p>"
authors:
  - family-names: Yildiz
    given-names: Burak
    orcid: "https://orcid.org/0000-0001-9932-4221"
  - family-names: Khademi
    given-names: Seyran
title: "Extracted Features on AmsterTime Dataset"
keywords:
version: 3
identifiers:
  - type: doi
    value: 10.4121/14572644.v3
license: CC BY 4.0
date-released: 2022-04-12