皮肤分析API是一个强大的工具,帮助护肤专业人士和个人分析皮肤健康并识别潜在的皮肤状况。该API使用先进的图像识别技术提供多维度、详细的皮肤分析,包括检测和识别各种皮肤特征,如颜色、光滑度、痘痘、皱纹、毛孔、黑头、黑眼圈和眼袋。
皮肤分析API旨在通过识别甚至是血管黑眼圈、痘痘印记等微小细节提供全面和准确的结果,这些细节可能肉眼难以察觉。该API的技术通过分析皮肤的高分辨率图像并将其与庞大的皮肤档案和状况数据库进行比较,以提供准确的诊断。
皮肤分析API为护肤专业人士和个人提供了跟踪皮肤健康的能力。通过分析皮肤状况的变化,用户可以及早识别潜在问题并采取积极措施改善皮肤健康。此外,API还可以根据用户独特的皮肤档案提供个性化的护肤产品和治疗建议。
护肤专业人士可以将皮肤分析API集成到他们的实践中,使他们能够为客户提供更准确的诊断和量身定制的治疗方案。通过使用该API,护肤专业人士可以通过自动化皮肤分析过程节省时间和资源,使他们能够专注于为客户提供高质量的护肤服务。
皮肤分析API还可用于护肤产品的开发。通过分析不同成分对各种皮肤状况的功效,护肤公司可以开发针对其目标受众独特皮肤档案的产品。这个功能可以促使开发出更有效的护肤产品,为用户提供更好的效果。
总之,皮肤分析API是护肤专业人士、个人和护肤公司都非常有价值的工具。该API的先进图像识别技术提供全面和准确的皮肤分析,使用户能够尽早识别潜在的皮肤问题并采取积极措施改善皮肤健康。皮肤分析API还可以为护肤专业人士和公司节省时间和资源,同时促进开发出更有效的护肤产品。
传递您想要分析的图像。每个请求仅1个面孔。接收位于皮肤缺陷的广泛分析。
个性化护肤推荐:护肤公司可以使用皮肤分析API为客户提供个性化的护肤建议。通过分析客户的皮肤档案,API可以推荐适合其独特需求和关注点的产品,提高客户的整体体验和满意度。
皮肤健康跟踪:个人可以使用皮肤分析API随时间跟踪皮肤健康。通过定期分析皮肤状况,用户可以尽早识别潜在问题并采取积极措施改善皮肤健康。
皮肤科诊断:皮肤科医生可以使用皮肤分析API来协助准确诊断各种皮肤病。该API的先进图像识别技术可以帮助识别皮肤的微妙变化,从而导致更准确的诊断和治疗方案。
护肤产品开发:护肤公司可以使用皮肤分析API开发针对特定皮肤档案和状况的新护肤产品。通过分析不同成分在各种皮肤类型上的功效,公司可以创造出更有效的产品,为客户带来更好的结果。
美丽咨询:护肤专业人士可以使用皮肤分析API为客户提供更准确和个性化的美丽咨询。通过分析客户的皮肤档案,专业人士可以推荐适合客户独特需求和关注点的护肤产品和治疗方案,提高客户的整体体验和满意度。
总的来说,皮肤分析API有广泛的潜在用例,可以帮助改善提供给客户的护肤产品和服务的质量。通过提供准确和个性化的皮肤分析,该API可以帮助个人和专业人士做出更明智的护肤需求和关注点的决策。
除了API调用数量外,没有其他限制。
皮肤分析 - 端点功能
| 对象 | 描述 |
|---|---|
请求体 |
[必需] Json |
{"log_id":"1773751447,d504e7e9-5452-4ba9-8fcc-5b5cf49e386e","request_id":"1773751447,18df3c18-e534-452a-816f-ba650275d403","timestamp":"2026-03-17T12:44:07.146479","analysis_type":"comprehensive","focus_areas":["acne","wrinkles","pores"],"image_url":"https://a.files.bbci.co.uk/worldservice/live/assets/images/2016/04/21/160421151857_acne_624x351_thinkstock_nocredit.jpg","image_info":{"original_size":{"width":512,"height":288},"processed_size":{"width":512,"height":288},"bbox_format":"x1,y1,x2,y2","coordinate_system":"pixels"},"quality":{"blur_score":0.824,"exposure_score":0.16,"contrast_score":0.294,"overall_quality":"poor","quality_score":0.333,"warnings":["High blur detected - texture-dependent analysis may be unreliable","Consider retaking photo with better focus","Underexposed image - may affect lesion detection"],"scales":{"blur_score":"0=sharp, 1=blurry","exposure_score":"0=dark, 1=overexposed","contrast_score":"0=low, 1=high","quality_score":"0=poor, 1=excellent"}},"face_regions":{"left_cheek":[115,86,201,173],"right_cheek":[288,86,375,173],"chin":[180,173,310,260],"forehead":[180,0,310,86]},"lesions":{"count":0,"severity":"none","severity_percentage":0.0,"confidence":0.95,"detection_status":"not_present"},"pores":{"left_cheek":{"count":1,"density":1.34,"density_units":"pores/10k_pixels","severity":"low","confidence":0.600133654103181,"filtering_applied":"morphological + circularity"},"right_cheek":{"count":7,"density":9.25,"density_units":"pores/10k_pixels","severity":"low","confidence":0.6009248249438499,"filtering_applied":"morphological + circularity"},"chin":{"count":2,"density":1.77,"density_units":"pores/10k_pixels","severity":"low","confidence":0.6001768346595933,"filtering_applied":"morphological + circularity"},"forehead":{"count":1,"density":0.89,"density_units":"pores/10k_pixels","severity":"low","confidence":0.6000894454382826,"filtering_applied":"morphological + circularity"}},"wrinkles":{"left_cheek":{"wrinkle_score":0.546,"severity":"moderate","confidence":0.8638320685224598},"right_cheek":{"wrinkle_score":0.37,"severity":"moderate","confidence":0.8111346385265074},"chin":{"wrinkle_score":0.444,"severity":"moderate","confidence":0.8332612127886169},"forehead":{"wrinkle_score":0.585,"severity":"moderate","confidence":0.8756066997274834}},"pigmentation":{"left_cheek":{"spot_count":1,"density":1.34,"density_units":"spots/10k_pixels","severity":"none","confidence":0.600133654103181,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"},"right_cheek":{"spot_count":1,"density":1.32,"density_units":"spots/10k_pixels","severity":"none","confidence":0.6001321178491213,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"},"chin":{"spot_count":0,"density":0.0,"density_units":"spots/10k_pixels","severity":"none","confidence":0.6,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"},"forehead":{"spot_count":1,"density":0.89,"density_units":"spots/10k_pixels","severity":"none","confidence":0.6000894454382826,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"}},"skin_type":{"label":"mixed","confidence":0.8,"texture_score":17442.5879},"severity":{"overall":"mild","confidence":0.703,"component_scores":{"inflammatory_acne":0,"pores":0.2,"wrinkles":0.7,"pigmentation":0.0},"total_weighted_score":0.9,"weighting_system":"mature_skin_optimized","explanation":"Wrinkles and pigmentation weighted higher for mature skin analysis","criteria":{"inflammatory_acne":">5 lesions or >2% area","pores":">300 pores/10k_pixels in any region","wrinkles":">0.6 wrinkle_score in any region","pigmentation":">500 spots/10k_pixels in any region","thresholds":{"mild":"0-2 lesions, <100 pores/10k_pixels, <0.3 wrinkle_score","moderate":"3-5 lesions, 100-300 pores/10k_pixels, 0.3-0.6 wrinkle_score","severe":">5 lesions, >300 pores/10k_pixels, >0.6 wrinkle_score"}}}}
curl --location --request POST 'https://zylalabs.com/api/1991/skin+analysis+api/16860/skin+analysis' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"analysis_type": "comprehensive",
"image_url": "https://a.files.bbci.co.uk/worldservice/live/assets/images/2016/04/21/160421151857_acne_624x351_thinkstock_nocredit.jpg",
"focus_areas": ["acne", "wrinkles", "pores"]
}'
| 标头 | 描述 |
|---|---|
授权
|
[必需] 应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。 |
无长期承诺。随时升级、降级或取消。
皮肤分析API返回有关皮肤特征的详细信息,包括痘痘、皱纹、毛孔和黑眼圈等瑕疵。响应包括面部令牌、位置信息和检测到特征的置信度分数
响应中的关键字段包括“face_num”(检测到的面部数量) “face_list”(每个面部的详细信息) “location”(检测到的面部的坐标)和“prob”(检测的概率)这表示分析的置信水平
响应数据采用JSON格式结构化。它包含一个顶级对象,其中有“error_code”、“error_detail”和“result”。“result”包含“face_num”和“face_list”,详细说明了每个检测到的面孔的属性
获取分析端点接受图像上传和一个可选的特征检测参数 用户可以指定特征如“颜色”“光滑”“痘痕”“皱纹”“眼部特征”“黑头毛孔”和“肤质”多个特征可以在单个请求中结合使用
用户可以通过可选参数选择特定的皮肤特征来定制他们的请求进行分析。例如,若要分析黑头和皮肤质量,用户应在参数字段中输入“blackheadpore,skinquality”
该API提供各种皮肤状况的信息,包括颜色、光滑度、痘痘、皱纹、毛孔、黑头、黑眼圈和眼袋。它还识别具体细节,如血管黑眼圈和痤疮痕迹
数据准确性通过先进的图像识别技术得以维护,该技术将分析过的图像与全面的皮肤特征和状况数据库进行比较。持续更新和质量检查确保结果可靠
典型的使用案例包括个性化护肤推荐、皮肤健康追踪、皮肤科诊断、护肤产品开发和美容咨询 这些应用帮助用户对自己的护肤需求做出明智的决策
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