0–3 星如何判定、Pick 精选是什么、连拍分组逻辑,以及输出目录结构和 EXIF 写入字段完全解析。 How star ratings are assigned, what Pick means, how burst groups work, and a complete breakdown of the output folder structure and EXIF fields written.
SuperPicky 慧眼选鸟 用 0–3 星加「无鸟」标记描述每张照片的质量,评分规则如下: SuperPicky 慧眼选鸟 rates each photo from 0 to 3 stars, with a separate "no bird" marker. Here is how each level is determined:
| 等级Level | 图标Icon | 含义Meaning | 核心判断依据How it's decided |
|---|---|---|---|
| 三星优选 3-star | ⭐⭐⭐ | 精品 Excellent | 锐度 + 美学双达标 Both sharpness and aesthetics meet the threshold |
| 二星良好 2-star | ⭐⭐ | 合格 Good | 锐度或美学仅达其一 Either sharpness or aesthetics meets the threshold (not both) |
| 一星普通 1-star | ⭐ | 留档 Average | 通过最低门槛,但两项均未达标;或鸟眼 / 鸟喙完全不可见(角度不佳) Passes the minimum bar but neither threshold is met; or bird's eye and beak are not visible (unfavourable angle) |
| 零星放弃 0-star | 0⭐ | 极低质量 Reject | 置信度不足、锐度极低,或严重过 / 欠曝 Confidence too low, extremely low sharpness, or severely over- / under-exposed |
| 无鸟 No bird | ❌ | 未检测到鸟 No bird detected |
AI 未在画面中定位到鸟;照片仍保留在 0星_放弃 目录,不会丢失
AI found no bird in the frame; the photo is kept in the 0star_reject folder, not deleted
|
两个影响评分的修正机制: Two score modifiers you should know about:
未检测到鸟有可能是鸟在极端角度、距离太远、AI 置信度略低于阈值。这类照片安全保留在 0星_放弃 目录,不会被删除,可以手动翻看。
No bird detected can mean the bird was at an extreme angle, too distant, or just below the confidence threshold. These photos are kept safely in the 0star_reject folder — never deleted — and can be reviewed manually.
Pick 精选(🏆)在三星照片中进一步筛选出「值得优先后期」的那批,所有照片处理完毕后统一计算,算法为美学 × 锐度双排名取交集: The Pick flag (🏆) identifies the most post-processing-worthy photos among the 3-star pool. It is calculated after all photos have been processed, using a dual-ranking intersection of aesthetics and sharpness:
N 的默认值是 25%(三星照片里美学和锐度都进前四分之一的才算 Pick)。可在高级设置中调整为 10%–50%,详见第 10 章。 N defaults to 25% — only 3-star photos that rank in the top quarter for both aesthetics and sharpness receive the flag. Adjustable from 10%–50% in Advanced Settings — see Chapter 10.
Pick 标记在哪里体现: Where the Pick flag appears:
└─ 🏆 N (xx% of 3★)
Shown in the completion report as └─ 🏆 N (xx% of 3★)
XMP:Pick=1,Lightroom 中对应白色小旗 🚩(Pick Flag)
Written as XMP:Pick=1 — shows as a white flag 🚩 (Pick Flag) in Lightroom
没有 Pick 标记的三星照片依然是三星。三星是基础质量关,Pick 是额外的美学+锐度双优筛选,帮你在大量三星中快速找到「最值得打开后期软件精修」的那一批。 A 3-star photo without a Pick flag is still a 3-star photo. The star rating is the quality gate; Pick is an additional double-filter to help you quickly identify the most post-processing-worthy shots from a large 3-star pool.
开启连拍检测后(详见第 03 章 3.5),每组连拍的整理逻辑: When burst detection is on (see Chapter 03, Section 3.5), each burst group is organised as follows:
burst_xxx/ 子目录,不会被删除
The rest of the group moves into a burst_xxx/ subdirectory inside the same target folder — never deleted
burst 子目录以序号命名,格式为 burst_001/、burst_002/……示例目录结构(species-first 布局):
Burst subdirectories are named sequentially — burst_001/, burst_002/, etc. Example structure (species-first layout):
v4.3.0 的默认布局是 species-first(先鸟种后星级): v4.3.0 uses species-first as the default layout — species folder on the outside, star rating on the inside:
两条固定规则: Two fixed rules:
0星_放弃/,需要时可手动翻看,照片不会被删除。
0-star and no-bird (❌) share the same folder — both go into 0星_放弃/. Photos are never deleted and can be reviewed manually.
v4.3 引入了视频片段处理(第 09 章)。视频无星级,采用 species-first 可让视频和照片自然共享同一鸟种目录,无需额外分类逻辑。 v4.3 introduced video clip processing (Chapter 09). Since videos don't have star ratings, species-first allows video clips and photos to naturally share the same species folder without extra sorting logic.
如果偏好旧版 rating-first 布局(3星_优选/白腹海雕/),可在高级设置中切换,详见第 10 章。
If you prefer the old rating-first layout (3星_优选/白腹海雕/), it can be switched in Advanced Settings — see Chapter 10.
处理完毕后,SuperPicky 慧眼选鸟 通过 ExifTool 将以下信息写入每张照片的元数据: After processing, SuperPicky 慧眼选鸟 uses ExifTool to write the following metadata fields into each photo:
| 字段Field | 写入内容Content written | 说明Notes |
|---|---|---|
Rating |
0–3 0–3 | Lightroom / 系统星级,与界面星级直接对应 Lightroom / system star rating, directly matching the interface |
XMP:Pick |
0 或 1 0 or 1 | Lightroom Pick Flag(1 = 白旗精选) Lightroom Pick Flag (1 = white flag) |
XMP:Title |
鸟种名称 Bird species name | 开启识鸟后写入(见第 08 章);支持中文 / 英文 Written when Bird ID is on (see Chapter 08); Chinese or English |
XMP:Description |
详细评分说明 Detailed scoring breakdown | 包含置信度、锐度、美学分值和判断理由 Confidence, sharpness, aesthetics scores and decision reason |
XMP:Label |
颜色标签 Color label | 绿色 = 飞版;红色 = 头部精焦;无标签 = 其他 Green = BIF; Red = head-focused; no label = other |
XMP:City(城市) (City) |
锐度分值(如 450.23)
Sharpness score (e.g. 450.23)
|
借用地理字段存储评分数据;在 Lightroom 元数据面板中显示为数字属正常现象,可用于智能相册筛选 A geographic field repurposed to store scoring data; the numeric value in Lightroom's metadata panel is expected behaviour and can be used in Smart Collection filters |
XMP:State(区域) (State) |
美学分值(如 5.24)
Aesthetics score (e.g. 5.24)
|
同上;借用地理字段存储美学评分 Same as above; geographic field repurposed for aesthetics score |
IntellectualGenre |
IUCN 濒危等级 IUCN Red List category | 如 LC / VU / EN(开启识鸟后写入,见第 06 章) e.g. LC / VU / EN (written when Bird ID is on — see Chapter 06) |
Event |
GBIF 罕见度(0–100) GBIF rarity score (0–100) | 全球出现频率评分(开启识鸟后写入,见第 06 章) Global occurrence frequency score (written when Bird ID is on — see Chapter 06) |
RAW 文件(ARW / NEF / CR2 等):SuperPicky 慧眼选鸟 不修改 RAW 原文件,所有元数据写入同名 .xmp 侧车文件。Lightroom / Bridge 会自动读取同目录下的 XMP 侧车,无需手动操作。
RAW files (ARW / NEF / CR2 etc.): SuperPicky 慧眼选鸟 never modifies the RAW file itself — all metadata is written to a .xmp sidecar of the same name. Lightroom and Bridge read XMP sidecars automatically.
JPEG 文件:EXIF 信息直接写入 JPEG 文件内部,无侧车文件。 JPEG files: EXIF data is written directly inside the JPEG — no sidecar needed.
导入时选择「读取元数据和嵌入侧车」,Lightroom 自动显示星级和 Pick 旗标;Title 字段在元数据面板中可见;Label 颜色标签可用于筛选飞版(绿色)或精焦照片(红色);City / State 中的评分数值可用于智能相册条件筛选。完整的 Lightroom 导入流程详见第 07 章。 When importing, choose "Read Metadata and Embedded Sidecar." Lightroom will automatically display star ratings and Pick flags; the Title field is visible in the metadata panel; the Label color can filter BIF shots (green) or head-focused shots (red); and the City / State score values can be used in Smart Collection criteria. Full Lightroom import walkthrough in Chapter 07.