Logo Detection using COCO-InstanceSegmentation + mask_rcnn_R_50_FPN_3x

Colab link: https://drive.google.com/file/d/1kpWNMzLe1GHmhjQDKSi9bXLZRBIDmxSA/view?usp=sharing

Watch Output Video here: https://youtube.com/shorts/2godXLQwMK8

Watch Output Video here: https://youtube.com/shorts/oTHcunhE1Kk

Watch Output Video here: https://youtube.com/shorts/HhodhsCQPA0

Watch Output Video here: https://youtube.com/shorts/sEiczuxMk2I

Paper Referenced from:

https://arxiv.org/pdf/1703.06870.pdf

https://github.com/facebookresearch/detectron2

Architecture used

• Detectron2 library
• COCO Instance Segmentation with MaskedRCNN_R50_FPN_3x.yaml

FRAMEWORK used

• Pytorch
• No. of classes: 4 ("Adidas" , "Puma" , "Nike" , "UnderArmour")

Functions provided

• Logos detection

Libraries used

• OpenCV, Detectron2, json, numpy

Tools used

• Labelme (For Image Annotation)
• Colab Notebook
• GitHub

© Raj Gupta 2022