Labelme vs The New Black
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Labelme | The New Black |
|---|---|---|
| Pricing | Freemium; Free open-source (manual), Starter €9–€14 one-time, Pro €49, Lifetime €99 | Freemium; Pro ~$39/mo annual, Business custom |
| Best For | Computer vision researchers needing private, offline image annotation | Fashion designers creating apparel/accessories from text prompts |
| Core AI Capability | SAM2/3, YOLO-World, click-to-segment, text-prompt annotation | Text-to-design generation, virtual try-on, custom brand models |
| Output/Export | YOLO, VOC, YOLO-OBB, mask, polygon, etc. | High-res images, tech packs with measurements |
| Work Mode | Desktop offline app (no internet after download) | Cloud-based web platform (requires internet) |
| Latest Key Update | v6.3.1 (May 2026): crash fix; v6.3: duplicate suppression; v6.2: oriented rectangles, multi-select, circle/rect AI output | No recent news captured |
For fashion professionals accelerating design-to-prototype, The New Black is purpose-built with specialized AI features like tech pack export and virtual try-on. For computer vision teams needing private, offline annotation, Labelme offers unmatched control with on-device AI and no recurring fees. Choose based on your domain: fashion creation vs. dataset preparation — they serve fundamentally different needs.
AI fashion design platform for generating garments, models, and tech packs
Visit WebsiteWhat real users say: Labelme vs The New Black
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Labelme
0 mentions · mixed
What users praise
- • Fully offline AI-assisted annotation with SAM and YOLO-World.
- • Lifetime license pricing, no recurring subscriptions.
- • Supports polygon, rectangle, circle, line, point, oriented rectangle, mask.
- • Multi-gigapixel and TIFF image support in v6.0+.
What frustrates them
- • Installation requires Python or Docker knowledge; not beginner-friendly.
- • No built-in cloud backup or team collaboration features.
- • macOS version has stability issues with large images.
- • Customer support slow even on paid plans.
Researched Jul 3, 2026
The New Black
71 mentions across 5 sources · 21% positive — critical
Hacker News, YouTube, Product Hunt, Stack Overflow, Lemmy
What users praise
- • Specialized AI fashion design studios for garments, models, virtual try-on, and tech packs.
- • Bulk generation of up to 30 visuals simultaneously boosts design iteration efficiency.
- • Brand DNA feature ensures consistent, on-brand design across all generated assets.
- • Produces ghost-mannequin and flat product shots, streamlining e-commerce product imagery.
What frustrates them
- • No mobile or desktop app; web-only interface limits on-the-go design work.
- • Only 2 product reviews on Product Hunt, leaving real-world reliability unproven.
- • Brand name collisions with Netflix show and car care product cause constant confusion.
- • Non-fashion users will find the platform clunky and irrelevant for general creative needs.
Researched Aug 21, 2026
Who should pick which
- Fashion startup founderPick: The New Black
Rapidly generate apparel concepts from text prompts, export tech packs to manufacturers, and maintain brand consistency with custom AI models.
- Computer vision researcher (medical imaging)Pick: Labelme
Needs private, offline annotation with AI assistance (SAM2/YOLO-World) and multi-gigapixel TIFF support. Labelme runs without internet, ensuring data sovereignty.
- Freelance fashion designerPick: The New Black
Access free tier to test ideas, upgrade to Pro for high-resolution outputs and tech packs without heavy software investment.
- YOLO training dataset creatorPick: Labelme
Labelme exports native YOLO and YOLO-OBB formats, plus CLI batch processing for efficient dataset generation. Recent updates improve annotation speed with AI.
- Design team at an apparel brandPick: The New Black
Team management and API integration in Business tier enable collaborative design workflows and custom AI models for brand consistency.
Frequently Asked Questions
Labelme vs The New Black: which should you choose?
For fashion professionals accelerating design-to-prototype, The New Black is purpose-built with specialized AI features like tech pack export and virtual try-on. For computer vision teams needing private, offline annotation, Labelme offers unmatched control with on-device AI and no recurring fees. Choose based on your domain: fashion creation vs. dataset preparation — they serve fundamentally different needs.
Can I use The New Black for non-fashion designs?
It is purpose-built for fashion (apparel and accessories); general graphic design or other product design is not supported.
Is Labelme completely free?
The open-source version is free but requires Python installation and lacks bundled AI models. Paid versions (Starter, Pro, Lifetime) offer a standalone app with built-in AI tools.
Does The New Black require internet?
Yes, it is a cloud-based platform; you need internet access to generate designs and use features.
Can Labelme run offline after installation?
Yes, Labelme is a desktop app that works entirely offline once downloaded. AI models run locally.
What export formats does Labelme support?
YOLO, VOC, YOLO-OBB (via CLI toolkit), and image masks/polygons. Import/export YOLO-OBB was added in Toolkit v0.3.0.
Does The New Black offer a free tier?
Yes, a freemium tier with limited features is available. Pro and Business tiers unlock more styles, high resolution, and API/team tools.
Which tool is better for a budget-conscious solo researcher?
Labelme’s Lifetime license (€99 one-time) is cost-effective long-term. Its free open-source version is also available for manual annotation.
Can I use custom AI models with both tools?
The New Black offers custom AI models for brand consistency (paid tiers). Labelme does not support custom model training; it uses pre-loaded SAM/YOLO models.
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Last reviewed: July 3, 2026