[robotics-worldwide] [news] CORe50: a new Dataset and Benchmark for Continuous/Lifelong Object Recognition

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[robotics-worldwide] [news] CORe50: a new Dataset and Benchmark for Continuous/Lifelong Object Recognition

vincenzo lomonaco
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://urldefense.proofpoint.com/v2/url?u=https-3A__vlomonaco.github.io_core50_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=wFSRAGkj_3w4fBGki-VsSZtwYHqLVxJLFz-cjXh0Nyg&s=2T3Vss91PKW93q4fuZTS3d7mJPb3hooApgMok7-vJsI&e=

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 in a Robotics setting.

On top of the CORe50 dataset we are also happy to release a 3-way
benchmark with multiple baselines and a constantly updated 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://urldefense.proofpoint.com/v2/url?u=https-3A__vlomonaco.github.io_core50_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=wFSRAGkj_3w4fBGki-VsSZtwYHqLVxJLFz-cjXh0Nyg&s=2T3Vss91PKW93q4fuZTS3d7mJPb3hooApgMok7-vJsI&e=

Have a wonderful and productive year,
Vincenzo
Vincenzo Lomonaco, M.Sc.
PhD Students' Representative @ DISI, University of Bologna
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