Open Images Dataset

doi:doi:10.57702/l4dj8fke

Open Images Dataset

The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images and 5 false positive images.

BibTex:

@dataset{Yoshiyuki_Ishii_and_Tomoyoshi_Shimobaba_and_David_Blinder_and_Tobias_Birnbaum_and_Peter_Schelkens_and_Takashi_Kakue_and_Tomoyoshi_Ito_2024,
    abstract = {The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images and 5 false positive images.},
    author = {Yoshiyuki Ishii and Tomoyoshi Shimobaba and David Blinder and Tobias Birnbaum and Peter Schelkens and Takashi Kakue and Tomoyoshi Ito},
    doi = {10.57702/l4dj8fke},
    institution = {No Organization},
    keyword = {'Object Detection', 'Relationship Detection', 'Scene Graph Generation', 'computer vision', 'dataset', 'holography', 'image annotation', 'image classification', 'image processing', 'images', 'large-scale dataset', 'object detection', 'object recognition', 'visual recognition'},
    month = {dec},
    publisher = {TIB},
    title = {Open Images Dataset},
    url = {https://service.tib.eu/ldmservice/dataset/open-images-dataset},
    year = {2024}
}