Dear all,
We are happy to announce that the *CORe50* dataset from the paper
“/CORe50: a new Dataset and Benchmark for Continuous Object
Recognition/” (CoRL, 2017) is now publicly available at the link:
https://vlomonaco.github.io/core50/
CORe50, specifically designed for /Continuous/Lifelong Learning/ and
/Object Recognition/, is a collection of more than 500 videos (30fps) of
50 domestic objects belonging to 10 different categories.
Instance level granularity, temporal coherence, first-person
point-of-view and very different environmental conditions and
backgrounds (outdoor sessions included) is what makes CORe50
particularly useful for assessing /Continuous Learning/ techniques.
On top of the CORe50 dataset we are also happy to release a 3-way
benchmark with multiple baselines and a living leaderboard to keep track
of the progresses made in this new exciting area!
For downloading the code, the dataset, the benchmark and more, check out
the official website https://vlomonaco.github.io/core50/
Best regards,
Vincenzo
Vincenzo Lomonaco, M.Sc.
PhD Students' Representative @ DISI, University of Bologna
http://www.vincenzolomonaco.com/
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