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Dataloop Website Full Guide (2026)

Data platform for AI vision.

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4.1 (AI Aggregated)
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Updated May 26, 2026

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Introduction

Dataloop provides a browser-first environment for preparing high-quality training datasets specifically for computer vision models. Users upload raw image or video assets, define precise annotation tasks via a web interface, distribute these tasks to an internal or external labeling workforce, and then review and export the curated datasets for direct integration into AI model training pipelines.

Key Features

Core Capabilities

1

Image/Video Annotation Canvas: Web-based interface for drawing bounding boxes, polygons, polylines, keypoints, and semantic segmentation mask

2

Dataset Versioning & Management: Organizing raw and labeled data, tracking changes, and managing dataset iteration

3

Annotation Task Orchestration: Tools for creating, assigning, and monitoring labeling jobs across a distributed team

4

Quality Assurance & Consensus Review: Dedicated console for reviewing labeler output, resolving conflicts, and calculating inter-annotator agreement

Additional Details

1

Custom Ontology Editor: Defining and managing object classes, attributes, and relationships specific to a computer vision project

2

Model-Assisted Labeling (MAL) Integration: Configuring pre-labeling with custom or pre-trained models to accelerate annotation

3

Data Augmentation Preview: Visualizing various transformations applied to datasets before export to enhance model robustne

4

Flexible Export Format Selector: Outputting labeled data in industry-standard formats like COCO, Pascal VOC, and YOLO

Use Cases

For Developers

Accelerating Computer Vision Model Iteration

ML engineers and data scientists leverage the platform to rapidly generate diverse, high-quality labeled datasets, enabling faster experimentation and fine-tuning of object detection, segmentation, and classification model

How to Use Dataloop

Upload Raw Asset

Navigate to the "Datasets" section, click "Upload Assets," and drag-and-drop or select image/video files directly from your browser to create a new dataset

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