Binary image classifier that answers one question from a fixed bed-camera view: is there a printed object on the print bed? Built for autonomous 3D-print-farm fulfillment (auto-releasing completed prints without a human looking at every camera frame). Live inference on frames from two printers never seen during training. Banner shows the model's actual output: ~1,200 frames from 29 farm printers. Labels derived from operational events and then manually audited by the operator (7 corrections applied via a review tool): Convention: clear means a clean bed — filament scraps and debris count as occupied. Split is group-aware (all frames from one printer/camera go to exactly one split), so test…
Independent publisher
Adamgoza
SugaryCoffee
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Models on Hugging Face1
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Published tasks: Image classification.
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