Skip to main content
zenodoopen

Imagenet Features Extracted with VGG-19

<p>This dataset contains features extracted from the Imagenet dataset using a pre-trained VGG-19 neural network. The network was configured with an input layer of (200, 200, 3). Feature extraction was performed using the Python package&nbsp;<a href="https://github.com/jgoodman8/py-image-features-extractor" target="_blank" rel="nofollow noopener noreferrer">Py Image Feature Extractor</a>.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0