2024年1月11日 · The biggest hurdle to ML models is getting good training data - for real world tasks there exist data sets like COCO but obviously none of those will contain FRC specific game pieces. A very modern approach is to use a larger slower model like FB’s SegmentAnythingModel to assist in generating labeled data, you still have to do some clean up ...

etails. The official drawings, CAD models, and drawings for low-cost versions of important elements of the CRESCENDO FIELD are posted on the CRESCENDO Playing FIELD web page on the FIRST .

2024年1月14日 · Update: Dataset Colab now has over 23,000+ images in the public FRC 2024 dataset. Signup to download this dataset and train custom note detection models! Users can also contribute to this dataset by uploading Roboflow or COCO datasets which are automatically combined (after review).

2024年1月16日 · Released here is a 3D printable mold for a Crescendo Note. It is designed to work with Smooth-On FlexFoam series expanding foams. Took a chance and printed the mold parts in PLA and haven’t seen any issues from heat generation during the casting process. https://www.printables.com/model/722910-frc-crescendo-note-mold

Program meant to automatically detect notes for the FRC 2024 Crescendo game Resources

2024年1月11日 · We were wondering if anyone found an alternative where we could buy another set of notes. AndyMark`s restock seems is selling out really fast and our game piece is already showing tear. Thanks. Froot Loops are really scarce this time of the year. https://www.chiefdelphi.com/t/potential-alternatives-to-notes/447788.

2023年4月6日 · Judges review a team’s engineering notebook to better understand the journey, design, and team. The engineering notebook is a documentation of the team, outreach and fund-raising efforts, team plans, and the robot design.

390 open source notes images plus a pre-trained 2024-frc-note model and API. Created by 2024frcnote

2024年1月15日 · Dataset Colab is a software that allows FRC teams to collaborate on a large object detection / vision dataset. It currently has a 25,000+ image dataset that are free to download . This makes it really easy for teams to train custom game object detection models!