SOTA SKU Image Classification for Product Matching | How we outperformed the Fashion CLIP model

Width.ai created a new retail product image classification model that outperforms the SOTA results from CLIP and Fashion CLIP on the most popular dataset in the domain. These models are commonly used in product matching use cases where photos are taken with lower resolution and zero control for noise and image angles.

Guide to AOT-GAN for High-Resolution Image Inpainting & Object Removal

Explore the world of high-resolution image inpainting with the AOT-GAN model. This blog post delves into the challenges, solutions, and impressive results of the AOT-GAN model, providing a comprehensive guide on how to install, use, and evaluate this powerful tool for image inpainting

Introduction to the Clothseg Repository for Clothing Segmentation

How we Improve Product Similarity Search with Fashion CLIP over Traditional CLIP

Explore how the implementation of Fashion CLIP, a domain-specific AI model, improves product similarity search in e-commerce by understanding complex product attributes, enhancing image-text alignment, and providing more accurate search results.

What is Seamless Tile Inpainting? How it works

Explore the intricacies of the Seamless Tile Inpainting extension, designed to make image tiles seamless through inpainting. This detailed guide covers installation, usage, comparison with the Asymmetric Tiling extension, and a deep dive into the underlying Python script. Ideal for anyone working in digital imaging or 3D modeling looking to create high-quality seamless tiles.

Introduction to Corridor Crawler Outpainting & Use Cases

Explore our comprehensive guide on using the Corridor Crawler Outpainting, a powerful extension for generating and animating intricate hallways. Learn about its installation, usage, and the Stable Diffusion model that powers it. Discover its wide range of applications in digital art, game development, architecture, VR/AR, and more.

DALL-E Mini Guide for Generating Photos and Illustrations for Your Content

Find out how you can improve content marketing and social media campaigns by creating unique, relevant images using image generation models like DALL-E Mini.

A Deep Guide to Text-Guided Open-Vocabulary Segmentation

Discover the power of text-guided open-vocabulary segmentation using large language models like GPT-4 & ChatGPT for automating image and video processing tasks.

What is CLIPSeg & how we build optimization pipelines for text-guided zero-shot segmentation

Learn how CLIPSeg segmentation, in combination with GPT-4 and ChatGPT, can enable diverse applications from medical image diagnosis to remote sensing.

92.44% Product Similarity through fine-tuning CLIP Model + Custom Pipeline for Image Similarity

A deep dive into how we reached SOTA accuracy in product similarity matching through a custom fine-tuning pipeline that refines the CLIP model for image similarity.

How to Use Recurrent Feature Reasoning for Image Inpainting

A deep look at how recurrent feature reasoning outperforms other image inpainting methods for difficult use cases and popular datasets.

SOTA Semantic Segmentation vs. Instance Segmentation: Insights, Implementations, and Recommendations

Discover how transformer networks are revolutionizing image and video segmentation, and get insights on modern semantic segmentation vs. instance segmentation.

A Deep Dive Into The Mask-Aware Transformer for Large-Hole Image Inpainting | How Should I Use MAT?

Discover how the state-of-the-art mask-aware transformer produces visually stunning and semantically meaningful images and how it stacks up against Stable Diffusion & DALL-E for large-hole inpainting

How Zero-shot Object Detection Changes Computer Vision Tasks in Business

Discover the capabilities of zero-shot object detection, which enables anyone to use a model out-of-the-box without any training and generate production-grade results.

State of the Art for Facial Expression Recognition from Image Data | Techniques, Architectures and Marketing Use Case

What is facial expression recognition and what SOTA models are being used today in production

How to Implement TensorFlow Facial Recognition From Scratch

Get a simple TensorFlow facial recognition model up & running quickly with this tutorial aimed at using it in your personal spaces on smartphones & IoT devices.

Solving Modern Document Classification Challenges With Deep Learning | SOTA Document Classification Use Cases

Explore accurate classification algorithms using the latest innovations in deep learning, computer vision, and natural language processing.

Latest Advances in Video-Based Human Activity Recognition | Modern HAR in Video & Images

Learn what human activity recognition means, how it works, and how it’s implemented in various industries using the latest advances in artificial intelligence.

Using TensorFlow Image Classification for Product Detection | Image Classification Using TensorFlow Framework

What is image classification and how we build production level TensorFlow image classification systems for recognizing various products on a retail shelf.

PyTorch Image Classification for Product Recognition: SOTA Framework for SKU Recognition

How to build an image classification model in PyTorch with a real world use case. How you can perform product recognition with image classification

How Computer Vision in Agriculture Is Boosting Productivity and Yields

Smart farming using computer vision and deep learning provides the most promising path forward in the slow-moving industry of agriculture.

Ai Automated Ball Tracking for Players and Coaches of Golf, Soccer, Cricket, and More

Apply AI to your favorite sport with this guide. Learn how automated ball tracking can change the game for coaches and players.

6 ML/Ai Warehouse Automation Technologies You Can Implement Today

Warehouse automation plays a crucial role across your supply chain. Learn about how machine learning and ai software can be integrated into your warehouse automation stack.

Drive More Conversions: State of the Art Visual Search In Ecommerce | Building Visual Search (Ecommerce Focused)

A complete walkthrough guide on how to use visual search in ecommerce stores to create more sales and real examples of companies already using it.

Automate Your Invoice Processing: Extract Data From Invoices in 6 Easy Steps

Automating the extraction of data from invoices can reduce the stress of your accountants by finding inaccuracies, digitizing paper invoices, and more.

The Best Ways To Extract Text From Images Without Tesseract (Python)

Understand how to extract text from images via Python without Tesseract and how we execute robust text extraction and document understanding for your business.

Technical Evaluation of Modern Machine Learning In Medical Imaging

Find out how machine learning in medical imaging is transforming the healthcare world and making it more efficient with three use cases.

Technical Review Of Modern Machine Learning In Healthcare Informatics

Discover ways that machine learning in health care informatics has become indispensable. Review the results of two case studies and consider two key challenges.

5 Best Use Cases For Product Matching In Ecommerce & How You Can Implement Each One

5 ways you can use product matching software in ecommerce to create real value that raises your sales metrics and improves your workflow operations.

5 Steps to Integrate a Product Recognition System Into Your Business

Product recognition software has tremendous potential to improve your profits and slash your costs in your retail business. Find out just how useful it is.

How To Automate Information Extraction From Legal Document Cover Sheets With Machine Learning & OCR

We built a custom ML pipeline to automate information extraction and fine tuned it for the legal document domain.

Facial Detection and Recognition With Dlib

Dlib is a versatile and well-diffused facial recognition library, with perhaps an ideal balance of resource usage, accuracy and latency, suited for real-time face recognition in mobile app development. It's becoming a common and possibly even essential library in the facial recognition landscape, and, even in the face of more recent contenders, is a strong candidate for your computer vision and facial recognition or detection framework.

98.57% Accuracy Using Image Recognition To Identify Food Dishes & Menu Items | Case Study

Best Place For was looking for an image recognition based software solution that could be used to detect and identify different food dishes, drinks, and menu items in images sourced from blogs and Instagram. The images would be pulled from restaurant locations on Instagram and different menu items would be identified in the images. This software solution has to be able to handle high and low quality images and still perform at the highest production level, while accounting for runtime as well as accuracy.

How We Helped Automate Out 167.3 HR/MO Spent Managing Inventory With Image Recognition and Processing Using Computer Vision and Machine Learning

Inventory automation with computer vision - how to use computer vision in online retail to automate backend inventory processes