Zero-Shot Segmentation

Qwen 2.5-VL 7B Fine-Tuning Guide for Segmentation

Unlock the full power of Qwen 2.5‑VL 7B. This complete guide walks you through dataset prep, LoRA/adapter fine‑tuning with Roboflow Maestro or PyTorch, segmentation heads, evaluation, and optimized deployment for smart object tasks.

Product Update

Product Update: May 2025

You told us you wanted a faster and more organized way to manage your projects, datasets, and API keys. We listened. Today, we are excited to announce a completely redesigned workflow experience. Our May 2025 update introduces a new landing page, a dedicated datasets section, and a secure place to

OpenAI

OpenAI O3 Pro: The Most Advanced AI Reasoning Model Yet

OpenAI’s O3 Pro delivers unmatched reasoning with real-time web search, vision/file inputs, and Python execution. It’s 10× costlier and much slower than O3, but promising for high‑stakes tasks in science, coding, and research. Is the power worth the price?

object tracking

StrongSORT Tutorial: Master Multi-Object Tracking

Learn what StrongSORT is, how it improves multi-object tracking, and how to easily implement it in your own projects using modern detectors like YOLO.

object tracking

Learn DeepSORT: Real-Time Object Tracking Guide

Learn to implement DeepSORT for robust multi-object tracking in videos. This guide covers setup, integration with detectors like YOLO for real-time use.

FVLM

Top Vision LLMs Compared: Qwen 2.5-VL vs LLaMA 3.2

Explore the strengths of Qwen 2.5‑VL and Llama 3.2 Vision. From benchmarks and OCR to speed and context limits, discover which open‑source VLM fits your multimodal AI needs.

Vision-language models

How to Fine-Tune Llama 3.2 Vision On a Custom Dataset?

Unlock advanced multimodal AI by fine‑tuning Llama 3.2 Vision on your own dataset. Follow this guide through Unsloth, NeMo 2.0 and Hugging Face workflows to customize image‑text reasoning for OCR, VQA, captioning, and more.

object tracking

How to Implement ByteTrack for Multi-Object Tracking

This blog shows code implementation of ByteTrack, combining high- and low-confidence detections to maintain consistent object IDs across frames. By matching strong detections first and “rescuing” weaker ones, it excels at tracking in cluttered or occluded scenes.

computer vision

Best Open-Source Vision Language Models of 2025

Discover the leading open-source vision-language models (VLMs) of 2025 including Qwen 2.5 VL, LLaMA 3.2 Vision, and DeepSeek-VL. This guide compares key specs, encoders, and capabilities like OCR, reasoning, and multilingual support.

qwen

Run Qwen2.5-VL 7B Locally: Vision AI Made Easy

Discover how to deploy Qwen2.5-VL 7B, Alibaba Cloud's advanced vision-language model, locally using Ollama. This guide covers installation steps, hardware requirements, and practical applications like OCR, chart analysis, and UI understanding for efficient multimodal AI tasks.

object segmentation

MASA Implementation Guide: Track Objects in Video Using SAM

MASA revolutionizes object tracking by combining the Segment Anything Model (SAM) with self-supervised matching. Track any object across video frames without category-specific training or manual labels. Learn how MASA works and implement state-of-the-art universal tracking in your projects.

LLAMa

A Hands-On Guide to Meta's Llama 3.2 Vision

Explore Meta’s Llama 3.2 Vision in this hands-on guide. Learn how to use its multimodal image-text capabilities, deploy the model via AWS or locally, and apply it to real-world use cases like OCR, VQA, and visual reasoning across industries.

Image Segmentation

Learn SAM 2 in Minutes: The Ultimate Starter Guide for 2025

Learn to implement Meta's SAM2 for pixel-perfect image/video segmentation. Explore its zero-shot capabilities, real-time processing, and step-by-step code examples for bounding box & point-based object masking.

Agent

Human-Out-Of-The-Loop: No Humans, No Limits

As AI systems become more autonomous, the debate intensifies over the benefits and dangers of removing human oversight. Explore the promise of efficiency and the peril of ethical dilemmas in human-out-of-the-loop AI systems.

Robotics

Hugging Face Buys Pollen Robotics - Here’s the Impact

Hugging Face's acquisition of Pollen Robotics introduces Reachy 2, an open-source humanoid robot. This move aims to democratize robotics, making advanced AI-powered robots accessible for research, education, and innovation.

google ai

Is Google AI Ultra Worth $250/Month?

Google's AI Ultra subscription offers top-tier AI tools, including advanced models like Gemini 2.5 Pro and Veo 3, for $249.99/month. Explore whether this premium plan delivers value for professionals and creatives seeking cutting-edge AI capabilities.

OpenAI

OpenAI's $6.5B Bet: Jony Ive's AI Device Revolution!

OpenAI's $6.5B acquisition of Jony Ive's startup, io, marks a bold move into AI hardware. Discover how this partnership aims to redefine human-AI interaction with innovative, screenless devices designed for seamless integration into daily life.

Google IO

Why Google I/O 2025 Matters: Top AI & Dev Updates!

Discover the groundbreaking AI advancements and developer tools announced at Google I/O 2025. From the Gemini 2.5 models to AI Mode in Search, explore how these innovations are set to transform the tech landscape.

segmentation

Mask2Former: Hands-on Tutorial Guide

Learn how to perform semantic, instance, and panoptic segmentation using Mask2Former-a universal, efficient, and accurate model that streamlines image segmentation tasks across diverse applications.

segmentation

SegGPT Demo + Code: Next-Gen Segmentation is Here

SegGPT is a versatile, unified vision model that performs semantic, instance, panoptic, and niche-domain segmentation via in-context “color-in” prompting—no task-specific fine-tuning required, instantly adapting to new classes from just a few annotated examples.

Microsoft

Microsoft Build 2025: What You’re Missing If You Skip It

Explore the groundbreaking announcements from Microsoft Build 2025, including advancements in AI agents, developer tools, and cross-device features. Discover how these innovations can impact developers, enterprises, and tech enthusiasts alike.

Stable Diffusion

Stable Diffusion 3.5: 30 Seconds to Generate Synthetic Data

Discover how to rapidly generate high-quality synthetic images using Stable Diffusion. This guide walks you through the process, enabling you to create diverse datasets for your machine learning models in just 30 seconds.

phi-4

Phi-4-Reasoning: Building Smarter AI Agents with 14B Param

Discover how Phi-4-Reasoning, a 14B-parameter model, enhances AI agent intelligence through curated data and reinforcement learning. Learn about its performance in complex reasoning tasks and how it outperforms larger models.

Semantic segmenatation

SegFormer Tutorial: Master Semantic Segmentation Fast

Learn how SegFormer uses Transformers and MLPs to perform semantic segmentation. Also implement Segformer yourself.

ai agent

Smolagents: Build AI Agents in Minutes with Python!

Discover how to build powerful AI agents effortlessly using Smolagents. This lightweight Python library supports various models and tools, enabling tasks like web automation, data analysis, and more—all with minimal code.