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Insect Identifier - Scan Bugs

Insect Identifier - Scan Bugs

RLAM FZCO

Education免费v1.13
App Store
评分

3.1

1,281 条评分

星级

★★★☆☆

最近更新

2024年4月15日

发布日期

2020年12月11日

更新内容

v1.13

Improvements for a better insect photo scanner AI Improvements to scanning more insects, bugs, butterflies, and pests types Thank you for your continued support and love :)

应用信息

开发者
RLAM FZCO
分类
Education
价格
免费
版本
1.13
App ID
1543946563

简介

Insect Identifier identifies thousands of Insects, Bugs, pests, and butterflies every day with high accuracy & confidence. The app uses the power of image recognition technology to identify Insects and any bug species all around you. • Get outside and point the Camera at any Insect. • Identify wildlife, special Insects, and discover butterflies and learn about them via our rich database information via encyclopaedia. JUST OPEN YOUR CAMERA AND START EXPLORING! Our advanced artificial intelligence engine is constantly learning from community experts and plant specialists. the app gets better and smarter over time. With just a simple picture click you can appreciate more the nature around you :). Upgrade to Premium version with free trial and get unlimited scans, identifications and extensive rich information about Insects. Subscription option: - Yearly Subscription - Monthly Subscription * Subscription payments will be charged to your Apple ID account at confirmation of your purchase and automatically renews your subscription unless it is canceled at least 24 hours before the end of the current billing period. * You can cancel your subscription anytime by canceling your subscription through your Apple account settings. This must be done 24 hours before the end of the current subscription period. The cancellation will take effect the day after the last day of the current subscription period. Offers and pricing are subject to change without notice. Privacy Policy: https://boxmath.co/privacy_policy.html Terms and Conditions: https://boxmath.co/terms_and_conditions.html

下载量预测

专业 · 预览

预估总下载量

95K64K183K
保守估计乐观估计

970

低 / 月

1K

预估 / 月

3K

高 / 月

基于1,281 条评分
假设评分率1.4%
应用年龄66 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。