NVIDIA Releases Source Code for Visual Localization Model LocateAnything-3B.
NVIDIA Releases Source Code for Visual Localization Model LocateAnything-3B.
NVIDIA has unveiled the open-source code for the visual localization model LocateAnything-3B, capable of effectively identifying objects in dense scenes.
NVIDIA has released the source code for the visual localization model LocateAnything-3B.
The model can locate objects even in very dense scenes. For example, in an image with dozens of minions standing close together, it correctly highlights each one with a separate bounding box.
The main difference from most existing models is the method of generating bounding boxes. Typically, the coordinates (x1, y1, x2, y2) are predicted sequentially, which slows down the process, and errors in early stages can affect subsequent coordinates, especially when there are many objects.
LocateAnything-3B employs parallel decoding: the model predicts complete bounding boxes all at once rather than building them step by step. This makes detection more stable, particularly in scenes with a large number of objects.
The model contains 3 billion parameters and is distributed with open source code. 💜
Why it matters
AnalysisThis model can significantly enhance the accuracy of visual localization in complex scenes, which is crucial for developing new AI applications in the field of computer vision.
Discuss in community
Share your questions and insights with developers
Related in Ecosystem
Practical guides, core terminology, and agent skills
Thinking Machines Releases Inkling 2 Small: a 594B MoE Model That Can Fine-Tune Other Models
Thinking Machines released Inkling 2 Small, a 594B-parameter MoE model that leads among open models in several benchmarks and demonstrated autonomous fine-tuning of Qwen3.5-4B.
Thinking Machines releases Inkling 2 Small: a MoE model that competes with larger flagships
Thinking Machines introduced Inkling 2 Small, a multimodal Mixture-of-Experts model with 594B total parameters and 17B active per token. Full weights are promised next week under Apache 2.0.
50 Visual Design Styles: A Foundational Guide for Design Systems, UI/UX, and Art Direction
A complete visual dictionary of 50 design styles: aesthetic analysis, color palettes, typography pairings, design system rules, and precise AI control.
Jev and System One AI: A Complete Practical Guide to the Decision Model from TypeSafe
A deep engineering breakdown of the flagship Jev model: System One architecture versus LLMs, Choice/Score/Noul primitives, request parallelism, confidence mathematics, video use cases, code, and an overview of local open-weight alternatives (Laya, GLiNER2.5, CLM-8B).