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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 <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