Classify Clothing Images with Jev
这是 Wes Bos 公开的项目资料。本站按原始来源展示项目信息，用中文说明适用场景和阅读边界；项目名、源帖与代码保持原样，便于逐项核对。
这条案例记录了什么
Agent 与模型路由
根据任务状态选择一条已定义的处理路径。
社区公开项目或作者演示
原始来源：Wes Bos via X。作者自述，本站未独立复现。
Wes Bos
记录日期：2026-10-14。日期与身份应以原始资料为准。
怎样核对这个项目
- 先打开原始来源，确认作者、日期与 Jev 在项目中的具体用途。
- 如果提供仓库，再检查代码、运行要求和许可证；仓库存在不代表本站已经运行成功。
- 对速度、成本、准确率和规模数字，查看原文的任务、环境和计算口径。
- 路由候选是否完整。
- 模糊请求的回退分支。
- 完整任务成本与结果。
原始文字与技术细节
以下内容保留原语言，供核对事实。中文页的场景说明是阅读提示，不是逐句翻译或实测结论。
展开英文项目摘要与原帖
项目摘要
Wes Bos demonstrates a Jev Score question over a clothing image. The question defines shirt, jacket and pants as its criteria, and the shared result favors jacket. Jev reads the supplied image and returns category scores; it does not generate or edit an image. The screenshots show one example, not a dataset evaluation.
来源原文
Jev images is here One question about an image that is 850x850 cost one hundredth of a cent - $0.000096936 about 10,000 images for a dollar. referencing the image more than once duplicates the token usage - so asking two questions in a single request is equivalent to uploading two images
原记录的限制
- The demonstration has not been independently reproduced by JevForAgents; no test dataset or measured accuracy is provided.
- The author reports $0.000096936 for one question about an 850 × 850 image and says repeated image references duplicate token usage. These are author-reported billing observations, not our measurements or a guaranteed per-image price.
- Native image input is experimental. Consult the current official model and image documentation before implementation.
- The original post contains two screenshots and no video, application link or GitHub repository. Its exact UTC time is not returned by the visible page.