architecture-decision-records
[ Featured ]architecture-decision-records is a skill that captures and logs architectural decisions made during coding sessions, providing a structured record of the decision-making process.
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architecture-decision-records is a skill that captures and logs architectural decisions made during coding sessions, providing a structured record of the decision-making process.
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers class
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This skill should be used when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes. It provides ADR templates and best practices.
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Gate/Risk/STOP 결과로 AUTO_MERGE/PR_ONLY/ZERO_STOP 결정. decision/AUTO_MERGE/PR_ONLY/ZERO_STOP 키워드면 사용.
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