Train Object Detection Models using YoloV5

Use Yolov5 architecture to train model with pytorch backend for different dataset and convert dataset from one format to other for training of yolov5 object detection models.

Create Gantt charts using Plotly in python

Use plotly python data visualization tool for create gantt or timeline charts for different type of data like date and time and different visualization options for modifing chart and its views.

Optical Character Recognition (OCR) using Tesseract in python

Tesseract is a open-source OCR engine owened by Google for performing OCR operations on different kind of images. Use pytesseract to process different type of images and localize text location with confidence.

Create and connect a MySQL instance using docker

MySQL is an open-source Database management system used for cloud native applications. It is used for different kind of applications including ecommerce, data warehouse and other different data management apps.

Introduction to CallBacks in Tensorflow 2

Tensorflow callbacks are very important to customize behaviour of Keras Tensorflow models in training or evaluation. We can either use predefined callbacks from tensorflow or can write our own callbacks to do some process.

Harcascade face and eyes detection using OpenCV python

Text translation using Google Speech Translation API

Use Google cloud speech translation api with python to identify text language and convert text to other languages using python with few lines of code and easy to implement.

Getting Started with Google Cloud Firestore using Python

Cloud Firestore using python for storing data in database and perform different operations like quering data using conditional statements, delete or update data.

Text Data Augmentation using NLPAug

We have different triditional and Machine Learning based methods for increasing our training data by changing data shape, adding noise or creating nearly similar data using current dataset. NLPAug is an open source python package for data augmentation using different methods and pretrained Deep Learning models.