Real-Time-Object-Detection-API-using-TensorFlow

Real-Time-Object-Detection-API-using-TensorFlow

kaushikjadhav01

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.

75 Stars
13 Forks
75 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$51.8K
Market Value
$80.5K

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10 data points  ·  2021-08-01 → 2026-04-01
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What is the kaushikjadhav01/Real-Time-Object-Detection-API-using-TensorFlow GitHub project? Description: "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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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