Labelme vs Adobe Firefly Services

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-03
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At a glance

DimensionLabelmeAdobe Firefly Services
PricingFreemium: free open-source manual annotation; Paid (Starter/Pro/Lifetime) for AI-assisted featuresUsage-based (pay-as-you-go; enterprise contract)
Target AudienceComputer vision researchers, engineers building custom YOLO datasetsEnterprise marketing teams, developers embedding generative AI
DeploymentOffline desktop application (Windows, Mac, Linux)Cloud-based API (AWS, Adobe infrastructure)
Key FeatureAI-assisted annotation (SAM2, SAM3, YOLO-World) with text promptsGenerative image creation & editing via API, custom model fine-tuning
Export FormatsYOLO, VOC, YOLO-OBB (via Pro Toolkit v0.3.0)Generated images (PNG, JPEG), Content Credentials metadata
Security/ComplianceFull data sovereignty (offline, no data leaves machine)SOC2, ISO27001, FedRAMP; commercial indemnity

Choose Adobe Firefly Services if you need generative image APIs at scale with enterprise compliance and Adobe ecosystem integration. Choose Labelme if you require offline, AI-assisted annotation for computer vision datasets, especially for YOLO training, with data sovereignty.

Labelme
Labelme

Offline AI image annotation for YOLO and VOC datasets — local SAM2, SAM3 and YOLO-World, one-time purchase from $49.

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Adobe Firefly Services
Adobe Firefly Services

Adobe's enterprise APIs for programmatic image generation and editing, built on the Firefly models and licensed training data.

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Pricing
Freemium
Freemium
Plans
$0
$49 USD one-time
$79 USD one-time
$249 USD one-time
Custom
$0/mo
Usage-based
Contact for pricing
Popularity
24 views
6.8k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Desktop
API
Categories
👁️ Computer Vision🏷️ Data Labeling & Training Data
🎨 Image Generation✨ Photo Editing & Enhancement
Features
Offline AI annotation with local SAM2, SAM3 and YOLO-World models
SAM2 point prompts — click to include, shift-click to exclude, returns an editable polygon
SAM3 box prompts — one rough box returns oriented boxes on every instance
SAM3 text prompts — type a phrase like "green plant" and matching objects are annotated
Live polygon detail adjustment while the AI preview is still on screen (v7.2.0)
Shapes: polygon, mask, rectangle, oriented rectangle, circle, line, point
Multi-gigapixel and float32 GeoTIFF support for satellite and medical imagery
Pro toolkit: batch AI annotation with box or text prompts
Export to YOLO, YOLO-OBB and Pascal VOC; import from YOLO and YOLO-OBB
Mask and visualization generation from annotations; dataset statistics and label lists
Rename labels across a dataset and resize images with their annotations
Automatic, Uniform or By Label shape color schemes (v7.2.0)
Cursor-anchored Ctrl/Cmd-wheel zoom (v7.2.0)
Undo immediately after the first shape, with auto-save (v7.2.0)
Download and manage AI models from Settings, including cancel and delete (v7.6.0)
Text-to-image generation API
Generative fill API for inpainting regions
Generative extend API for outpainting beyond frame
Generative remove API for object removal
20+ creative and generative APIs
SDKs for Node.js, Python, and Java
Custom model fine-tuning (enterprise add-on)
API collections for common workflows
Content credentials via Adobe C2PA integration
SOC2, ISO27001, and FedRAMP compliance
Commercial safety with licensed training data
Integration with Adobe Experience Manager and Workfront
Rate limiting and access controls per API key
Cloud infrastructure hosted on AWS
Developer portal with documentation and tutorials
Integrations
Adobe Experience Manager (AEM)
Adobe Workfront
Adobe Creative Cloud
Adobe Express
Amazon Web Services (AWS)

Who should pick which

  • Enterprise marketing team automating banner creation
    Pick: Adobe Firefly Services

    Firefly's generative image APIs and Adobe ecosystem integration streamline content production at scale with commercial safety and compliance.

  • Computer vision researcher labeling custom dataset
    Pick: Labelme

    Labelme provides offline AI-assisted annotation (SAM, YOLO-World) with export to YOLO/VOC, ensuring data privacy.

  • Developer embedding image generation into e-commerce app
    Pick: Adobe Firefly Services

    Firefly's SDKs and REST APIs allow programmatic image generation with enterprise security and fine-tuning options.

  • Solo practitioner building YOLO model on satellite imagery
    Pick: Labelme

    Labelme's multi-gigapixel support, offline operation, and YOLO-OBB export (v0.3.0) suit sensitive satellite data.

  • Regulated industry needing FedRAMP-compliant image generation
    Pick: Adobe Firefly Services

    Firefly is SOC2/ISO27001/FedRAMP certified, meeting strict regulatory requirements.

Frequently Asked Questions

Labelme vs Adobe Firefly Services: which should you choose?

Choose Adobe Firefly Services if you need generative image APIs at scale with enterprise compliance and Adobe ecosystem integration. Choose Labelme if you require offline, AI-assisted annotation for computer vision datasets, especially for YOLO training, with data sovereignty.

Can Labelme run without internet?

Yes, Labelme is a desktop app that runs completely offline once downloaded.

Does Adobe Firefly Services support custom model training?

Yes, enterprise customers can fine-tune models using their own data.

What annotation formats does Labelme export?

Labelme exports to YOLO, VOC, and via Pro Toolkit v0.3.0, YOLO-OBB.

Is Adobe Firefly Services suitable for small businesses?

It's designed for enterprise; usage costs may be high for low-volume use.

Does Labelme have a free version?

Yes, the open-source version is free but offers manual annotation only, without AI features.

Can I use Adobe Firefly Services offline?

No, it requires an internet connection to call cloud APIs.

Does Labelme support multi-gigapixel images?

Yes, version 6.0 added multi-gigapixel and TIFF image support.

What AI models does Labelme use for annotation?

SAM2, SAM3, EfficientSAM, and YOLO-World are integrated for click-to-segment and text-prompt annotation.

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Last reviewed: July 3, 2026