用GameLoop模拟器在電腦上玩Object detection - Image class

Object detection - Image class 電腦版

來自發行商 fouxa 的 Object detection - Image class 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 Object detection - Image class。

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Object detection - Image class 電腦版！

Object detection - Image class 簡介

In this app, you can detect various objects using the best object detection models.

🏮These object detection models are modified to work on mobile platforms.

🏮You can use different types of models like:

🔦 YOLO

-It is fast and can detect various objects like cars, utensils, electronic gadgets, furniture, humans and so on...

🔦 PoseNet (by TensorFlow)

-It allows you to estimate and track human poses (known as “pose estimation”) by detecting body parts such as elbows, hips, wrists, knees, and ankles.

🔦 MobileNet

-MobileNets are small, low-latency, low-power models used to meet the resource constraints of a variety of use cases. They can be built upon for classification, detection, embeddings, and segmentation similar to how other popular large-scale models, such as Inception, are used.

🔦 MobileNet SSD

The mobilenet-ssd model is a Single-Shot multibox Detection (SSD) network intended to perform object detection. This model is implemented using the Caffe* framework.

🏮All models can work without internet