metadata

title: TagDiciphering
emoji: 🌍
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 3.11
app_file: app.py
pinned: false

Tag Deciphering using FRCNN

Introduction

This algorithm is written to automate the tag reading and organising the group of image for each structure. Hence it ensures that the images belong to the right structure. It also has the logic to cross validate structure against its known master data.

Approach

TensorFlow Object Detection API, (FRCNN) Object Detection: The image is provided as an input to a convolutional network which provides a convolutional feature map. The feature map is used to identify the region proposals, a separate network is used to predict the region proposals. The predicted region proposals are then reshaped using an RoI pooling layer which is then used to classify the image within the proposed region and predict the offset values for the bounding boxes.

Example

1

Input: An Image with Pole tag. Some sample images is given inside "test_images" folder

Output: Read text

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference