kaushikjadhav01/Real-Time-Object-Detection-API-using-TensorFlow
A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming objects and preprocessing.
This tool helps you automatically identify and locate multiple objects within images, video files, or live webcam feeds. You input visual data, and it outputs the same visual data with detected objects highlighted and labeled. This is ideal for anyone needing to automate visual inspection, surveillance, or content analysis tasks.
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Use this if you need to quickly and accurately detect common objects in various visual inputs, from static images to real-time video streams.
Not ideal if you need to detect very specific, custom objects that are not part of a standard dataset without extensive further training.
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Jun 27, 2020
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