- API
- 智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别
POST/ai_image_detect/huangniu/huangniu/v1
请求参数(Header)
无参数
请求参数(Query)
无参数
请求参数(Body)
- 接口文档
- 请求示例
- 成功响应
- 失败响应
- 错误码
- 调用结果
接口信息
https://jqhnnn.market.alicloudapi.com/ai_image_detect/huangniu/huangniu/v1
POST
JSON
API 简单身份认证调用方法(APPCODE)API 签名认证调用方法(AppKey & AppSecret)
接口参数
请求参数(Header)
字段名称 | 必填 | 字段详情 |
---|---|---|
无参数 |
请求参数(Query)
字段名称 | 必填 | 字段详情 |
---|---|---|
无参数 |
请求参数(Body)
字段名称 | 必填 | 字段详情 |
---|---|---|
IMAGE string | Y | 图像数据,BASE64编码后进行URLENCODE,要求BASE64编码和URLENCODE后大小不超过2M,最短边至少15PX,最长边最大4096PX,支持JPG/PNG/BMP格式 实例值: data:image/jpeg;base64,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 |
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商品介绍
产品亮点
智能图像分析-智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别-艾科瑞特(iCREDIT),凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别,支持对复杂场景中家禽家畜牛奶牛肉牛黄牛统计计数检测
产品说明
智能图像分析-智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别-艾科瑞特(iCREDIT)
智能图像分析-智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别-艾科瑞特(iCREDIT),凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别,支持对复杂场景中家禽家畜牛奶牛肉牛黄牛统计计数检测
新技术必将改变企业的方方面面,您将从何处踏上数字化转型征程?至关重要的是,企业必须首先找到一家深谙业务与技术交汇融合的合作伙伴
为日新月异的中国新经济变革,将咨询、数字和技术等领域的独到服务应用于行业领域,助力客户应对最严峻的挑战
关键词:智能家禽家畜牛奶牛肉牛黄牛统计计数检测与识别、自然语言处理、企业知识图谱、NLP、深度学习、人工智能、AI、DEEP LEARNING
产品参数
交付方式 | API |
产品截图
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefineddf720e5ed62745f08ba30e48a1e2f1b3.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefineddf720e5ed62745f08ba30e48a1e2f1b3.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedad8156e87984448c902eb1f9720d365c.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedad8156e87984448c902eb1f9720d365c.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined1e7e7d5ca66c4e35912529aaed18ca3f.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined1e7e7d5ca66c4e35912529aaed18ca3f.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedd46c6eb2be9e4da599ca3d9898440548.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedd46c6eb2be9e4da599ca3d9898440548.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined8f007bbdc0ab499a8e02bd4070d488db.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined8f007bbdc0ab499a8e02bd4070d488db.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedf98da9fa36eb41598d6fba8ec43b3cf7.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedf98da9fa36eb41598d6fba8ec43b3cf7.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefineddf720e5ed62745f08ba30e48a1e2f1b3.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefineddf720e5ed62745f08ba30e48a1e2f1b3.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedad8156e87984448c902eb1f9720d365c.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedad8156e87984448c902eb1f9720d365c.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined1e7e7d5ca66c4e35912529aaed18ca3f.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined1e7e7d5ca66c4e35912529aaed18ca3f.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedd46c6eb2be9e4da599ca3d9898440548.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedd46c6eb2be9e4da599ca3d9898440548.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined8f007bbdc0ab499a8e02bd4070d488db.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefined8f007bbdc0ab499a8e02bd4070d488db.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedf98da9fa36eb41598d6fba8ec43b3cf7.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefinedf98da9fa36eb41598d6fba8ec43b3cf7.jpg)
![https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefineddf720e5ed62745f08ba30e48a1e2f1b3.jpg](https://photogallery.oss-cn-hangzhou.aliyuncs.com/photo/1331306425141949/undefineddf720e5ed62745f08ba30e48a1e2f1b3.jpg)
售后支持范围
工作日:周一至周五【每天10:30-17:00】 技术支持钉钉号:icredit【备注:阿里云市场】 技术支持电话:0532-88984128
产品资质
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商品价格(此处价格仅供参考,实际价格以选配后的价格为准)
版本名称 | 计费项 | 新购 |
0.01元/1次 | 版本基础价格 | 0.01元 |
998元/30万次 | 版本基础价格 | 998元 |
2998元/100万次 | 版本基础价格 | 2998元 |
9998元/500万次 | 版本基础价格 | 9998元 |
19998元/1000万次 | 版本基础价格 | 19998元 |
私有化授权费-59998元/次【不限制装机量】 | 版本基础价格 | 59998元 |
私有化模型更新费-9998元/年 | 版本基础价格 | 9998元 |
使用指南
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服务商
![公司logo-深圳艾科瑞特科技有限公司](https://netmarket.oss-cn-hangzhou.aliyuncs.com/product/de6d0b4ecd514b15917b36cf898d41fa.png)
深圳艾科瑞特科技有限公司
艾科瑞特科技(iCREDIT)集团面向全球提供人工智能(AI)与大数据(BIG DATA)解决方案,通过其旗下品牌服务全球顶尖投资银行、基金公司以及众多世界五百强企业,素有全华尔街都在使用的中国标准之称。企业拥有众多深受信赖的优质、领先品牌,包括艾科瑞特(iCREDIT)、超验(iTRANSCEND)、玄机(iTHEORY)、泰始明昌(TAISHIMINGCHANG)等等;艾科瑞特在全球近约近三百个国家和地区开展业务
服务商星级:
- 数据与API
- AI与大数据计算
客服在线:09:00-18:00【工作日】
旺旺:电话:0532-88984128
邮箱:market@icredit.link 官方钉钉与微信:17060450860入住时间:2017-09-30
所在地区:440000 440300
入驻集市:数据市场
可开发票类型:增值税专用发票
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商家商品数量:5000近180天成交订单量:4911近180天退单率:0.14%店铺评分状态
- 评价数量:307840条
- 综合总分:2.9分
- 完成质量:3分
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牛棚牛群计数统计,牛脸识别,不错