segment-anything-model
De la autor
Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.
Instalare
npx skills add KalarisLabs/research-agent-skills --skill segment-anything-model -a claude-code
Se instalează în .claude/skills/segment-anything-model/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
Vrei ca agentul să-ți propună skill-uri în timp ce scrii? Vezi cum folosești skill-urile din IDE.
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 82
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- sam3graph-robots/open-robot-skillsSegment Anything 3 — text-, point-, and box-prompted instance segmentation, plus a stateful streaming video tracker that carries object identity through SAM3's memory bank. Use when a workflow needs open-vocabulary masks from an RGB image or needs to follow one object across frames.Media★ 58
- sam3-segmentationlillyguisnet/sam3-segmentationOutline, mask, cut out or count objects in images with Meta's SAM 3 (Segment Anything Model 3), run locally on an NVIDIA GPU. Use when the user wants pixel masks or outlines of things in a photo, even without saying "segmentation" or "SAM": every instance of a phrase ("all the dogs"), one object from a click or box, automatic "segment everything", or careful, auditable annotation of many small objects or parts, such as corn kernels, seeds, cells, insects or leaves, with COCO RLE / PNG masks, review and a zoomable viewer. Prefer it to judging outlines, counts or object positions by eye. Includes first-time setup and a demo that needs no GPU. Outputs are model proposals, not verified ground truth. Not for classifying, captioning or editing images, video, medical scans, or customer and network segmentation.Media★ 72
- image-generationshinpr/mcp-imageOptimizes image generation prompts using Subject-Context-Style structure. Use this skill when generating images, creating illustrations, photos, visual assets, editing images, or crafting prompts for any image generation model.Media★ 182
- nnunet-segmentationjaechang-hits/SciAgent-SkillsMedical image segmentation with nnU-Net's self-configuring framework — auto-selects architecture, preprocessing, training for any modality. CT, MRI, microscopy, ultrasound in 2D, 3D full-res, 3D low-res, cascade. Pipeline: convert → plan/preprocess → train (5-fold CV) → best config → predict → ensemble. Use when classical segmentation fails and annotated data exists.Media★ 383
- source-part-segmentationCheshireJCat/blenderSegment overlapping visual parts from source images, wireframes, texture atlases, and decals before mesh reconstruction. Use when a mascot/logo/template contains touching or overlapping components and exact structural part masks are needed before contour-to-mesh, UV fitting, or landmark repair.Altele★ 59
- generate-imageforyourhealth111-pixel/Vibe-SkillsGenerate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.Media★ 3.8K
Note și recenzii
—
nicio recenzie
Ai încercat acest skill? Notează-l ca să-i ajuți pe alții. Autentifică-te
Discuție
Intră în discuție. Autentifică-te