Object Detection using neural networks

Object Detection using neural networks

detecting the object in real time(say from a video) and thus making the output video with the name of an object around it

Artificial Intelligence

Description

We make an architecture of convolution neural network and we train it with some open source dataset to make a real-time output like from videos by dividing it in frames and then process it using SSD i.e. single shot multi-box detection, in which we divide our image in a rectangular grid. It is a better alternative to YOLO algorithm. we have also use deconvolution to deal with the scale problem. In order to avoid training by own the alternative "ssd300mAP77.43_v2.pth" can be used as it is a free and open source. or we can go for GPU.

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Shubham K. created project Object Detection using neural networks

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Object Detection using neural networks

We make an architecture of convolution neural network and we train it with some open source dataset to make a real-time output like from videos by dividing it in frames and then process it using SSD i.e. single shot multi-box detection, in which we divide our image in a rectangular grid. It is a better alternative to YOLO algorithm. we have also use deconvolution to deal with the scale problem. In order to avoid training by own the alternative "ssd300mAP77.43_v2.pth" can be used as it is a free and open source. or we can go for GPU.

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