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CoolFridge/CNC-PCB-Grinder-YOLO-Seg
CNC-PCB-Grinder-YOLO-Seg is a machine learning model from CoolFridge. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as agpl-3.0.
This repository contains three versions of Ultralytics YOLO Segmentational models, that trained on CNC-PCB-Grinder dataset for segmentating PCB copper blanks, PCB mashine's workspace and dangerous objects like a clamp…
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Updated Jun 14, 2026
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.pt61.2 MB · 92%
From the Hugging Face model README
This repository contains three versions of Ultralytics YOLO Segmentational models, that trained on CNC-PCB-Grinder dataset for segmentating PCB copper blanks, PCB mashine's workspace and dangerous objects like a clamps, screws, bolts, handlers, special nuts.
best-last.pt - YOLO26n-seg
best-medium - YOLO26m-seg
nano_last_ncnn_model - YOLO26n-seg in NCNN format with graph simplification and FP16 quantization that can be runned in real time on Raspberry Pi 4b with 2 FPS.
Model classes: 0 - workspace 1 - blank 2 - danger