image recognition

"Train data from Roboflow's export was automatically split to prepare the dataset: train: ~100 images (80%), val: ~12 images (10%), test: ~4 images (10%)."

"This application aims to quantify the 'degree of clutter' from photos of a room and record it as a score. We aim to quantify the subjective impression that people feel like 'it's indeed messy' as naturally as possible."

"The study found that when the image is upside down (180°), both models are devastated."

"This paper introduces a neural network model that learns multiple attributes as images and performs associated, sequential recall of the learned memories."

"This project developed a Web app that classifies products into 'regular products, discount products, and waste products' just by taking a photo of the product with a smartphone, in order to support the quality judgment of fresh food products in supermarkets."

"Pet owners upload pictures of their missing animals to platforms like Petco Love Lost, which then uses AI to scan thousands of images from rescue organizations, social media posts, and animal shelters."

"To check “how much can it be used with just images?”, I embedded images of 8 kinds of curry dishes and compared them by cosine similarity, and then I constructed a pipeline to make Gemini 2.5 Flash explain “why they are similar”."

"This is the core line: new AzureOpenAIClient(new Uri(endpoint), credential) This means the program will 'connect to the OpenAI service you deployed on Azure yourself, not the official public API'."

"By introducing a linear classifier, the recall rate improved to 89.8% (a +10.4 point increase)."

"If it goes well, if you say you want a gear with this kind of performance, Claude might be able to answer."

"The article concludes that, regarding motorcycle image recognition, GPT-4o was a resounding success."

"JSONスキーマを指定するだけで、本当に指定した通りのフォーマットでレスポンスが返ってきます。"

"Specifically, the team tackled the Kaggle competition 'Paddy Doctor: Paddy Disease Classification,' creating a model to classify 9 types of diseases and the normal condition of rice plants from images."

"Vision-Language Models achieve ~84% F1 reading binary grids rendered as text characters (. and #) but collapse to 29-39% F1 when the exact same grids are rendered as filled squares, despite both being images through the same visual encoder."

"Here, we introduce a very simple code that estimates a person's pose from a single image using the ultralytics library."

"Amazon Rekognition is an automated image and video analysis service that can be used without any machine learning experience."

"In the business world, Object Detection is the most cost-effective and widely applicable."

"The "Image Authentication" is a menu for businesses that authenticates products based on product images taken by the user."

"The article delves into the core components of CNNs, specifically focusing on the three mechanisms of feature extraction: convolution, pooling, and padding, and the softmax function used for final classification."

"CNN is a deep learning model that excels primarily in image recognition and video analysis."

"This article summarizes 10 prompt techniques for OCR tasks."

"This comparison aims to visualize the "understanding quirks" of each model, providing valuable insights into their accuracy and expressive tendencies."

"Softcreate is developing an AI that incorporates time-series elements into image recognition to understand work flow and context. It will be launched in mid-February 2026, targeting mid-sized manufacturers, as situation recognition AI "Meniral AI" to support quality stabilization and technology transfer."

"Gemini's description was the most accurate."

"GLM-OCR shows a repetition issue, with the same sentences or phrases repeated in about a third of the output."

"I've been building a daily game called BRAIAIN that gives you 10 images and asks you to identify which are real photos and which are AI-generated."