EfficientDet Scalable And Efficient Object Detection || Python || Deep Learning || VENKAT PROJECTS

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NAME: VENKATARAO GANIPISETTY
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ABOUT PROJECT:
In this paper author is creating family of neural network to enhance Average Precision (AP) rate for object detection and in propose paper author has created model from D0 to D7 and each model is enhance with various parameters such as scaling, resolution, depth and width. In propose paper author has first applied weighted bi-directional featurepyramid network (BiFPN), which allows easy and fastmulti-scale feature fusion and in second part author enhance neural network with scaling and resolution. This enhancement give better average precision rate (AP) for each enhancement. Author has created this model on COCO dataset.
To implement this project we have designed following modules
1) Generate & Load EfficientDet Model: using this module we will load EfficientDet model
2) Upload Test Image: using this module we will upload test image
3) Run Object Detection Model: using this module we will apply EfficientDet model on image to detect object
4) EfficientDet Average Precision Graph: using this module we will plot AP (average precision) rate for each model from D0 to D7