This article was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is changing how computer vision models are being trained. This page will explain synthetic data and how it compares to traditional approaches. After exploring the main methods of creating synthetic data, we’ll help you […]
Synthetic Data for Computer Vision Read More +
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Marine ecosystems are under pressure from unsustainable fishing, with some populations declining faster than they can recover. Illegal, unreported, and unregulated (IUU) fishing further contributes to the problem, threatening biodiversity, economies, and global seafood supply chains. While many
AI On Board: Near Real-time Insights for Sustainable Fishing Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. State-of-the-art image diffusion models take tens of seconds to process a single image. This makes video diffusion even more challenging, requiring significant computational resources and high costs. By leveraging the latest FP8 quantization features on NVIDIA Hopper GPUs
Optimizing Transformer-based Diffusion Models for Video Generation with NVIDIA TensorRT Read More +
This article was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. I know why you’re here; you’ve decided to buy your first device with Snapdragon X Elite processor, awesome choice! You now ventured over to Qualcomm AI Hub, grabbed a model and excitedly watched as it downloaded. “Hmmm okay…
Enable Pose Detection on Snapdragon X Elite: Step-by-step Tutorial Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The past few years have witnessed the rise in popularity of generative AI and large language models (LLMs), as part of a broad AI revolution. As LLM-based applications are rolled out across enterprises, there is a need to
LLM Benchmarking: Fundamental Concepts Read More +
This article was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. The COCO dataset is a cornerstone of modern object detection, shaping models used in self-driving cars, robotics, and beyond. But what happens when we take a closer look? By examining annotations, embeddings, and dataset patterns at a granular
Exploring the COCO Dataset Read More +
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Qwen2-VL, an advanced vision language model built on Qwen2 [1], sets new benchmarks in image comprehension across varied resolutions and ratios, while also tackling extended video content. Though Qwen2-V excels at many fronts, this article explores the model’s
Video Understanding: Qwen2-VL, An Expert Vision-language Model Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With the recent advancements in generative AI and vision foundational models, VLMs present a new wave of visual computing wherein the models are capable of highly sophisticated perception and deep contextual understanding. These intelligent solutions offer a promising
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Video has become the lingua franca of the digital age, but its ubiquity presents a unique challenge: how do we efficiently extract meaningful information from this ocean of visual data? In Part 1 of this series, we navigate
Scalable Video Search: Cascading Foundation Models Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In today’s data-driven world, the ability to retrieve accurate information from even modest amounts of data is vital for developers seeking streamlined, effective solutions for quick deployments, prototyping, or experimentation. One of the key challenges in information retrieval
Building a Simple VLM-based Multimodal Information Retrieval System with NVIDIA NIM Read More +
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