Object detection - Image class

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