This category is for discussion and questions about the Perception Challenge for Bin-Picking (2025), a competition focused on real-world solutions using robotics and AI. Visit https://bpc.opencv.org for more information.
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there are 22 objects mentioned in the ipd github, if i am right we need to initially build a solution for 10 of those objects right? are they specified already or do we choose any 10 out of 22
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You are correct, the first phase of the challenge will be based on 10 objects out of 22 objects from the original IPD dataset. These objects are predefined and are the same for all the participants, and we’ll announce them publicly shortly.
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is this competition online or offline?
Depends on what do you mean by online and offline? Participants can be working on their solutions offline, but they’ll need to submit docker containers, that will be evaluated online. We’ll share more details in the next few weeks.
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Is it a requirement to open source the solution that we use in the docker container at the end of the competition?
Hi, as I remember, it was mentioned in the video, and no, it does not need to be open sourced.
Yep, at 24:38. So no need open source
I had a question about the previously winning presentations where they mention about training around 2mn+ Images. Are there going to be any sponsored compute units provided for this event to train and infer from?
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As Peter confirmed already, no requirement to open source the solution. However, the winning teams will have the opportunity to present their solution at CVPR PIRA workshop.
We don’t provide compute units for training - however we certainly cover the evaluation of the solutions.