Data Augmentation for Bounding Boxes: Rotation and Shearing
This article will cover how to implement rotation and shear images and bounding boxes using OpenCV’s affine transformation features.
Deep Learning for Image Dehazing- The What, Why, and How
In this tutorial, we discuss the history of image dehazing, show how to set an image dehazing task up in a notebook, and then examine 7 different techniques for performing image dehazing with deep learning!
Effective Strategies for Sending Data to GenAI Agents
Discover best practices for sending data to GenAI agents, managing structured and unstructured data, preprocessing steps, and transmission methods.
LLM Fine-Tuning: A Guide for Domain-Specific Models
Learn how LLM fine-tuning works and why it’s essential for building accurate domain-specific models. A beginner-friendly guide with key concepts and steps.
A Guide to Object Detection with Vision-Language Models
Explore how Vision-Language Models are transforming object detection with practical techniques, real-world use cases, and hands-on implementation tips.
LangSmith Explained: Debugging and Evaluating LLM Agents
Debug, trace, and evaluate LLM agents with LangSmith. Learn how LangSmith improves the reliability, observability, and performance of AI applications.
Automated metrics for evaluating the quality of text generation
Follow this blog post to learn about several of the best metrics used for evaluating the quality of generated text, including: BLEU, ROUGE, BERTscore, METEOR, Self-BLEU, and Word Mover’s Distance.
A Deeper Dive into How CNNs Interpret Images.
In this article, we’ll explore how a CNN views and comprehends images without diving into the mathematical intricacies.
PyTorch vs TensorFlow: Which Deep Learning Framework is Better in 2025
Compare PyTorch and TensorFlow to find the best deep learning framework. Explore differences in performance, ease of use, scalability, and real-world applications.
Image Compression Using Autoencoders in Keras
In this tutorial we cover a thorough introduction to autoencoders and how to use them for image compression in Keras.
