에 의해 게시 Joao Frasco
1. This is a simple but very powerful tool that demonstrates how far artificial intelligence and machine learning has come, especially the power of deep neural networks and specifically, convolutional neural networks.These models are all freely available from the internet under the licenses provided by the links below.
2. Photo Classifier uses state of the art Machine Learning models that use Convolutional Neural Networks (CNNs) to classify photos taken with your camera or from your library.
3. Six models have been included, and the app provides the output from each of the models in a fraction of a second each.
4. The classification includes both a descriptive label of the scene, as well as the probability associated with the label.
5. You can see more detail on the top five predictions for each model, along with the probability of each prediction.
6. GoogLeNetPlaces: Creative Common License.
7. Resnet50: MIT License.
8. Inceptionv3: MIT License.
9. SqueezeNet: BSD License.
또는 아래 가이드를 따라 PC에서 사용하십시오. :
PC 버전 선택:
소프트웨어 설치 요구 사항:
직접 다운로드 가능합니다. 아래 다운로드 :
설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 Photo Classifier 검색 막대에서 검색을 누릅니다. 클릭 Photo Classifier응용 프로그램 아이콘. 의 창 Photo Classifier Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.
다운로드 Photo Classifier Mac OS의 경우 (Apple)
다운로드 | 개발자 | 리뷰 | 평점 |
---|---|---|---|
$1.99 Mac OS의 경우 | Joao Frasco | 1 | 2.00 |
Photo Classifier uses state of the art Machine Learning models that use Convolutional Neural Networks (CNNs) to classify photos taken with your camera or from your library. The classification includes both a descriptive label of the scene, as well as the probability associated with the label. Six models have been included, and the app provides the output from each of the models in a fraction of a second each. You can see more detail on the top five predictions for each model, along with the probability of each prediction. This is a simple but very powerful tool that demonstrates how far artificial intelligence and machine learning has come, especially the power of deep neural networks and specifically, convolutional neural networks.These models are all freely available from the internet under the licenses provided by the links below. GoogLeNetPlaces: Creative Common License. More information available at http://places.csail.mit.edu Resnet50: MIT License. More information available at https://github.com/fchollet/keras/blob/master/LICENSE Inceptionv3: MIT License. More information available at https://github.com/fchollet/keras/blob/master/LICENSE VGG16: Creative Commons Attribution 4.0 International(CC BY 4.0). More information available at https://creativecommons.org/licenses/by/4.0/ SqueezeNet: BSD License. More information available at https://github.com/DeepScale/SqueezeNet/blob/master/LICENSE MobileNet: Apache License. Version 2.0 http://www.apache.org/licenses/LICENSE-2.0
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