computer-vision

Hi DEV 👋 I’m Muhammad Ibrahim Hashmi , a final-year BS Artificial Intelligence student from Islamabad, Pakistan. Most of my work so far has been around Machine Learning, Computer Vision, Python, FastAPI, and building AI applications end to end . I joined DEV because I want to document something I’ve been realizing more and more: Training a model is only one small part of building a useful AI syst…

Vision Transformers (ViTs) perform well on clean aerial imagery but degrade sharply when deployed in post-earthquake UAV operations, where motion blur, dust haze, illumination variation, and sensor noise combine to produce what we term post-earthquake visual drift, a structured distributional shift that can render an otherwise capable model dangerously unreliable in the field. Retraining or conve…

When traditional automated audit tools (like Google Lighthouse) scan a webpage, they test for DOM metrics and performance : Largest Contentful Paint (LCP), missing ARIA labels, image dimensions, or meta tags. What they CANNOT tell you: "Your primary CTA button blends directly into the hero gradient background." "Your pricing table has cognitive overload and 5 competing badge colors." "Your sign-u…

I wanted a microphone project with a very small brief: hear a sound, copy it, and see how close you got. That became Mimic Party Online , a browser game where each round gives you a short sound cue and one recording attempt. The cue might be a meme clip, an animal call, a machine noise, or something that is hard to describe without making the sound yourself. It looks like a toy, and it is. It als…

The rapid expansion of mussel raft aquaculture has increased the demand for accurate and scalable monitoring systems to support sustainable coastal management. Deep learning (DL) object detectors, particularly the YOLO family, enable automated extraction of aquaculture infrastructures from Very High-Resolution (VHR) satellite imagery. However, conventional detectors rely on horizontal bounding bo…

Tourism destination image encompasses the multifaceted perceptions of visitors that influence their choice of destination. However, current computational methodologies often analyze visual and textual signals separately and seldom link image perception to the quality of recommendations. This study introduces multimodal destination image perception and recommendation (MM-DIPR), a framework utilizi…

I Built a Recognition App That Admits When It's Not Sure. Here's What It Took. I've been building a personal image recognition project for a while now, and somewhere along the way it turned into something I actually want to write about. It's called TargetV1, and the short version is: it's a system that tries to identify what's in a photo, and when it isn't sure, it actually says so and goes and c…

Information extraction from financial document images is crucial in computer vision and NLP, as financial data often exists in image or PDF format, enabling organizations to analyze and make informed business decisions using OCR advancements. The table contents of financial document images are one of the prominent structures to confine important portions of data of the document and many Deep lear…

Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs discover the project, give it a try, and share your feedback to help improve the product. Do you interact with AI models where you put in an image and then it processes it? Do you wonder what these models are and what is happening behind the scenes? Th…

Google is expanding its AI footprint with two announcements this week: a new AI image-creation tool for Workspace and a set of Gemini-powered accessibility updates for Android. The company introduced Google Pics, an image-creation and editing tool powered by its Nano Banana model, which will roll out to Workspace business customers and Google AI Pro […]

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