Image labeling blog for computer vision teams
The ImageLabeling image labeling blog is written for ML engineers, computer vision leads and the people who label their data. Each guide answers one practical question about building a training dataset, from choosing an annotation type to exporting the right format and keeping label quality high.
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What is data annotation and why it matters
Data annotation turns raw images into training data by adding boxes, masks, points or classes. This guide explains the annotation types, who does the work and how AI pre-labels change the cost of a dataset.
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COCO vs YOLO format and Pascal VOC compared
COCO, YOLO and Pascal VOC store the same labels in very different files. Learn how each format describes boxes and masks, which frameworks expect which format, and how to convert without losing classes.
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Bounding box vs segmentation for your model
Boxes are fast to draw, masks are precise. This guide shows when bounding boxes are enough, when you need polygons or masks, and what each choice costs in labeling time.
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How to label images for object detection
Tight boxes, consistent classes and clear rules for occluded objects decide how well a detector learns. A step by step guide with the mistakes that most often hurt mAP.
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How many images to train object detection
The honest answer depends on classes, variety and the model you fine tune. This guide gives practical starting points and shows how to grow a dataset in rounds instead of guessing.
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How to build a labeled dataset that trains well
From collecting images to splitting train, validation and test sets and freezing versions, this guide walks through building a labeled dataset your team can trust and reproduce.
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Annotation quality control in practice
Review workflows, consensus on a sample and per labeler QA scores catch errors before they reach training. Learn how to set up annotation quality control without slowing the team down.
Put the guides to work on your images
Try the auto labeling on one image in the free demo, then export the result in the format your model needs with our image labeling tool. Plans are on image annotation tool pricing.