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glossary

Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages. Gives the approved LightlyStudio term for each concept and the wording to avoid, currently covering annotations, annotation classes, annotation sources, labeling, and ingestion.

来源信息

仓库
lightly-ai/lightly-studio
最近来源活动
2026年10月1日 11:24
检测到的 SKILL.md 语言
英语
星标
896
分支
40

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

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SKILL.md
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name
glossary
description
Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages. Gives the approved LightlyStudio term for each concept and the wording to avoid, currently covering annotations, annotation classes, annotation sources, labeling, and ingestion.
# Glossary and Naming Terminology for LightlyStudio. Use the **Term** for all user-facing parts: the GUI, the docs, and the public Python API (names, arguments, docstrings, and error messages). Internal implementation names (database tables and columns, resolvers, REST JSON fields, and the generated frontend client) are exempt. Add new topics as their own `##` section below. ## Annotations | Concept | Term | Python identifier | Avoid | |---|---|---|---| | A classification, object-detection box, or segmentation mask attached to a sample | **annotation** | - | label, annotation label | | The category of an annotation, e.g. `"dog"`, `"cat"` | **annotation class** | `class_name` | label, label class, annotation label | | A group of annotations, e.g. ground truth, a model's predictions | **annotation source** | `annotation_source` | annotation collection, collection, collection name, label source | | Creating annotations | **labeling** | - | the noun 'label' | ## Data ingestion | Concept | Term | Avoid | |---|---|---| | Images added without any annotations | **raw images** | image folder, unlabeled images | | Videos added without any annotations | **raw videos** | video folder | | Adding samples to a dataset from any source, for example with `add_images_from_path` or `add_samples_from_coco` | **ingestion** (verb: ingest) | import | | Adding annotations to samples that are already in the dataset, for example with `add_annotations_from_yolo` | **add annotations** | import | Do not use "import" for data. It reads like the Python `import` in nearby code blocks.
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