Introduction
The ecoset dataset, pre-trained networks, and online tools to run them are available here.
Have you used ecoset in your research, and want to make the corresponding paper/resources available here? Let us know, happy to help.
Ecoset in brief
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- 1.5 million images
- 565 basic level object categories
- Categories selected to be frequent and concrete
- Expected error rate of <4%
- Comes with 40 pre-trained DNN instances (Alexnet, vNet)
- Easy online tool to extract network activations for new stimuli
- Main paper available here
- Dataset/code/networks available here
Ecoset resources
Publications using ecoset
van Dyck, L. E., Kwitt, R., Denzler, S. J., & Gruber, W. R. (2021). Comparing object recognition in humans and deep convolutional neural networks–An eye tracking study. Frontiers in Neuroscience, [Article]
Muttenthaler, L., Hebart, M.N. (2021) THINGSvision: a Python toolbox for streamlining the extraction of activations from deep neural networks. bioRxiv, 2021.03.11.434979
[Preprint]