
Cat Breed Auto Identify Photo 電腦版
Nikas
用GameLoop模拟器在電腦上玩Cat Breed Auto Identify Photo
Cat Breed Auto Identify Photo 電腦版
來自發行商 Nikas 的 Cat Breed Auto Identify Photo 能夠在安卓系統上運行。
現在,您可以在電腦上使用 GameLoop 模擬器流暢地玩 Cat Breed Auto Identify Photo。
在 GameLoop 遊戲庫或搜索結果中下載。 不需要再暢玩遊戲時盯著電池電量或被令人懊惱的來電打斷。
只需在電腦大屏幕上免費下載暢玩Cat Breed Auto Identify Photo 電腦版!
Cat Breed Auto Identify Photo 簡介
What is the application?
It specifies the breed of cat by pictures using your device's camera or image gallery.
How does it works?
The photo is fed to the input of the neural network (at the moment the EfficientNetV2 architecture is used) and at its output a hypothesis is formed about what breed of cat is shown in this photo. The new version of the classifier has become less playful and only reacts to photos of real cats. Drawn cats, cartoons, toys, dogs, other animals, photos of people - the neural network most often ignores.
What is recognition accuracy?
The system is trained to recognize 62 cat breeds from 13,000 photographs. In this version of the application, the accuracy of recognition of cat breeds was 63% on 2 thousand photos from the test sample (not used in training the classifier) and 86% on all available photos. The training database of cat photos is being supplemented and improved, so the number of breeds and the quality of their recognition will increase in new releases.
Goals For Future.
It will be added to supplement the training set of cat photos your examples and thus continuously expand the number of cat breeds and recognition accuracy. The purpose of the project to create an expert system able to recognize the photos all known breeds of cats.
標籤
娛樂訊息
開發商
Nikas
最新版本
0.5.1
更新時間
2023-08-30
類別
娛樂
同時可用
Google Play
更多
如何在電腦上用 GameLoop 玩 Cat Breed Auto Identify Photo
1. 從官網下載GameLoop,然後運行exe文件安裝GameLoop
2. 打開GameLoop,搜索“Cat Breed Auto Identify Photo”,在搜索結果中找到Cat Breed Auto Identify Photo,點擊“安裝”
3. 享受在 GameLoop 上玩 Cat Breed Auto Identify Photo 的樂趣
Minimum requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-8300
Memory
8GB RAM
Storage
1GB available space
Recommended requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-9320
Memory
16GB RAM
Storage
1GB available space