Dataset Management

1 Aug 2023 • 5 min read

Using Stable Diffusion and SAM to Modify Image Contents Zero Shot

SUMMARY Combining Grounding DINO for zero-shot object detection, SAM for pixel-precise segmentation, and Stable Diffusion for inpainting produces a fully text-driven image editor that requires no manual masking or selection tools. The pipeline takes a text description of the object to modify, uses Grounding DINO to locate

28 Jul 2023 • 10 min read

How to Use Computer Vision for Environment Monitoring

SUMMARY Satellite and drone imagery analyzed by computer vision models can measure environmental change at a scale and frequency that manual scientific monitoring cannot match, turning pixel data into quantifiable ESG metrics like built-up area, deforestation extent, water coverage, and crop health. This guide walks through building a remote

25 Jul 2023 • 5 min read

Detect and Segment Oil Spills Using Computer Vision

SUMMARY Drone footage of an oil spill carries enough information to determine spill volume, thickness, and spatial extent, but only if the imagery is analyzed with a model trained to distinguish those properties. This post walks through building an instance segmentation model that labels oil spill regions by thickness class,

20 Jul 2023 • 5 min read

How to Use LabelMe: A Complete Guide

In this guide, we discuss the features in LabelMe, how to install LabelMe, and how to start annotating images in the tool.

19 Jul 2023 • 5 min read

Improve Accuracy: Polygon Annotations for Object Detection

SUMMARY Polygon annotations consistently outperform bounding boxes for object detection when objects have irregular shapes, because polygons eliminate background noise that bounding boxes include. An experiment comparing both annotation types, combined with augmentations (rotation, saturation, cutout, bounding box shear) and pretrained weight initialization, showed meaningful mAP gains at each step.

6 Jul 2023 • 5 min read

How to Use Generative AI to Augment Computer Vision Data

Dive deep into Kopikat.co, a tool for generative data augmentation created by OpenCV.ai to improve the quality of datasets.

30 Jun 2023 • 6 min read

Train an Image Classification Model with No Labeling

In this guide, we show how to train an image classification model to identify damage on street signs without any labeling.

16 Jun 2023 • 2 min read

Launch: Adjust Image Brightness and Contrast in Roboflow Annotate

In this guide, we show how to use the brightness and contrast adjustment features available in Roboflow Annotate.

7 Jun 2023 • 5 min read

Auto-Label Classification Datasets Using CLIP

SUMMARY OpenAI's CLIP model can auto-label image classification datasets by computing cosine similarity between image embeddings and text embeddings for each class name, then assigning the best-matching label. This tutorial walks through the full pipeline in a Jupyter notebook using the Roboflow Art Classification Dataset, covering

17 May 2023 • 8 min read

Not All mAPs are Equal and How to Test Model Robustness

Learn how to stress-test the robustness of computer vision models.

1 May 2023 • 6 min read

Leveraging Embeddings and Clustering Techniques in Computer Vision

Explore the world of image embeddings in computer vision, as we dive into clustering, dataset assessment, and detecting image duplication. Discover dimensionality reduction techniques like t-SNE and UMAP. Use CLIP embeddings for analyzing image class distribution and identifying similar images.

21 Apr 2023 • 5 min read

Zero-Shot Image Annotation with Grounding DINO and SAM - A Notebook Tutorial

In this comprehensive tutorial, discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model. Learn how to convert object detection datasets into instance segmentation datasets, and use these models to automatically annotate your images.

13 Apr 2023 • 4 min read

Launch: Label Data with Segment Anything in Roboflow

Learn how to label data with Segment Anything Model (SAM) in Roboflow.

31 Mar 2023 • 5 min read

Synthetic Data Generation with NVIDIA and Roboflow

Learn how to build computer vision models that leverage synthetic data using NVIDIA Omniverse and Roboflow.

13 Feb 2023 • 4 min read

How to Use Roboflow Models in CVAT

In this article, we show how to use public Roboflow models to speed up annotating in CVAT.

1 Feb 2023 • 4 min read

Track and Count Objects Using YOLOv8

Counting moving objects is one of the most popular use cases in computer vision. It is used, among other things, in traffic analysis and as part of the automation of manufacturing processes. That is why understanding how to do it well is crucial for any CV engineer.

29 Dec 2022 • 6 min read

Launch: Use Universe Models for Label Assist and Training

In this guide, learn how to use public models on Roboflow Universe to assist you with labeling and to speed up the process of building an accurate model.

16 Dec 2022 • 4 min read

Launch: Collaborative Annotation Updates

SUMMARY Roboflow's Collaborative Annotation platform has reached over 100,000 users and 100 million annotated images, and this launch adds several features that reduce manual overhead for large teams. New capabilities include API endpoints for uploading batches and assigning annotation jobs programmatically, aggregate batch metrics in the Board

8 Nov 2022 • 5 min read

Top 7 Sports Datasets for Computer Vision Projects

SUMMARY Seven sports datasets on Roboflow Universe span classification and object detection across multiple disciplines: cricket, football, and baseball image classification; a 5K-image football helmet detection set for impact tracking; shuttlecock and golf ball detection for racket and club sports; a boxing punch detector; a cyclist database; and a

27 Oct 2022 • 7 min read

School Bus Detection Using YOLOv5 (Tutorial – Part 2)

Learn how to detect school buses using YOLOv5.

26 Oct 2022 • 4 min read

Launch: Semantic Segmentation for Labeling, Training, Deployment

SUMMARY Semantic segmentation assigns a class label to every pixel in an image, making it useful for tasks where per-pixel precision matters: road and sidewalk mapping from aerial imagery, crack detection in infrastructure, defect identification in manufacturing, and medical image analysis. Roboflow now supports semantic segmentation end-to-end,

28 Sep 2022 • 4 min read

Launch: Smart Polygon Labeling

SUMMARY Roboflow Annotate's Smart Polygon tool uses a machine learning model behind the scenes to generate a polygon label with a single click on an object, reducing what previously required many manual point placements to a near-instant operation. Precise polygon annotations are required for training instance segmentation

17 Aug 2022 • 6 min read

Launch: Dataset Search

Learn how to search image datasets using Roboflow.

16 Aug 2022 • 6 min read

Building Custom Computer Vision Models with NVIDIA TAO Toolkit and Roboflow

NVIDIA's TAO Toolkit provides a framework for fine-tuning popular computer vision models using your own data. In this tutorial, we'll be demonstrating how to use Roboflow to curate a high-quality computer vision dataset to use with NVIDIA's TAO Toolkit.