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Fashion image annotation for AI and e-commerce teams

Fashion Image
Annotation & Apparel
Labeling Services

Precise BPO Solution provides outsourced fashion image annotation for visual search, AR/VR try-on, outfit recommendation, and catalog AI. Our 540+ in-house annotators in Pune, India have labeled 48M+ fashion images. Every project runs under NDA in ISO 27001- and GDPR-aligned workflows.

Start a free pilot → Explore All Annotation Services →
Fashion annotation services — polygon-labeled dress, shirt, jeans, handbag, and shoes with garment segment outlines
18+ Years in Data Operations Est. 2008
48M+ Fashion Images
Annotated Apparel · Footwear · Accessories
540+ In-House
Annotators All NDA-bound
Up to 99.8% Accuracy
Target Three-stage QA
330M+ Video Frames
Processed Across all projects
ISO 27001 /
GDPR-aligned Security
27+ Countries
Served US · UK · EU · APAC · ME
On This Page
01 What is Fashion Annotation 02 About the Service 03 Industries We Serve 04 Annotation Type Comparison 05 Annotation Capabilities 06 Our Workflow 07 Client Use Cases 08 Tools & Platforms 09 Why Work With Us 10 Three-Stage QA 11 In-House vs Generic BPO vs Precise BPO 12 Pricing Models 13 Global Delivery 14 Testimonials 15 FAQs 16 Get a Quote
FA
The Fundamentals

What is Fashion Image Annotation?

Fashion image annotation, also called garment or clothing annotation, is the process of labeling and structuring visual product data. That covers garments, footwear, accessories, and their attributes, so AI models can understand, classify, and retrieve fashion items accurately. Annotators apply bounding boxes, polygons, semantic masks, keypoints, and attribute tags to images, giving AI systems the labeled ground truth to learn from.

It is the groundwork behind visual search, outfit recommendation, AR/VR virtual try-on and automated catalog management, all of which appear in the use cases below. Unlike generic object detection, fashion labeling depends on knowing how garments are made and how your taxonomy is organized, so the labels hold up in a real catalog. For shelf and store-level labeling, see our retail annotation service.

We deliver COCO JSON, XML, CSV or your own schema, with attribute labels for category, color, pattern, silhouette, material, fit, neckline and sleeve type, plus 50+ other fashion-specific fields.

Visual Search & Discovery
Bounding boxes and attribute tags on apparel and accessories power "shop the look" search, visual similarity matching, and image-based product discovery engines.
AR/VR Virtual Try-On
Body landmark annotation, garment keypoints, and polygon segmentation enable real-time garment overlay and 3D fit inference in shopping apps.
Catalog & Attribute AI
Deep attribute tagging for fabric, pattern, color, silhouette, and brand identifiers powers automated catalog enrichment, taxonomy classification, and trend analytics.
Output Formats
COCO JSON, XML, CSV, YOLO or your own schema.
At a glance
🔒ISO 27001-aligned
🇪🇺GDPR-aligned
🎯Accuracy Target of Up to 99.8%
🛡️NDA on Every Project
⚡Free Pilot Batch
02
About the Service

How We Handle Fashion Annotation

About Precise BPO
Fashion-trained annotators. Three-stage QA.
24–48h
Standard turnaround for batch annotation jobs

Since 2017, Precise BPO has labeled fashion images for visual search, AR/VR try-on, outfit recommendation, and catalog enrichment teams. All work is delivered from our Pune center, which runs around the clock. We label to the specification and taxonomy you give us.

Our annotators specialize in fashion. They apply bounding boxes, polygons, landmark keypoints and attribute tags for color, pattern, texture, silhouette, neckline, sleeve type, fit and length, on studio images, flat lays, lifestyle shots, model catalog shots and on-body photography. We adapt to your annotation platform and output schema, so you don't have to change tools.

For e-commerce teams with large catalogs, we label tops, bottoms, dresses, footwear, jewelry, handbags and accessories at volumes from 10K to 10M+ images. Retail AI teams can go from pilot to production without building their own labeling operation, at per-image costs 40–60% below US/UK rates.

We label seasonal collections, new catalog launches and multi-region product databases to one taxonomy. We take on long-running programs and short seasonal uploads, with no minimum commitment. Online data entry and data conversion can run alongside annotation under the same NDA.

👗
Fashion-Trained In-House Annotators
Our in-house annotators are trained on apparel, footwear and accessory taxonomies.
🎨
Attribute-Level Precision & Taxonomy Standards
Labels are checked against your attribute rules, and three-stage QA aims for up to 99.8% accuracy.
🔐
ISO 27001 & GDPR-aligned
Access controls, NDA-bound workflows, and audit trails.
Talk to our team
Dress annotation sample showing garment segmentation and attribute labeling for fashion AI and e-commerce models
Handbag annotation sample showing bounding box and attribute labels for fashion accessory detection and visual search AI
Jewelry and accessories annotation sample showing fine-detail labeling for luxury product AI and visual discovery platforms
Shoes annotation sample showing footwear segmentation and category labels for fashion e-commerce and visual search models
03
Industry Coverage

Industries We Serve

Fashion annotation datasets power visual search, recommendation engines, AR/VR platforms and catalog automation.

🛍️

E-Commerce & Online Retail

We support product discovery and visual search through structured tagging of apparel, footwear, accessories, and style attributes across large catalogs.

01
🤖

Fashion Tech & AI Startups

We annotate datasets for virtual try-on, style matching, outfit generation, trend analysis, and AI fashion assistants using detailed tagging, polygon segmentation, and landmark keypoints.

02
🏭

Apparel & Textile Manufacturing

Our annotation supports defect detection, material classification, stitching pattern recognition, and quality control automation in manufacturing workflows.

03
💎

Luxury & Designer Brands

We annotate premium collections, including fabrics, trims, embellishments, textures, and brand logos.

04
🏪

Marketplaces & Aggregators

Category mapping and taxonomy alignment keep product listings consistent across sellers and platforms. We also offer product data entry services for teams that also need product listings and pricing entered or updated.

05
🥽

Visual Search & AR/VR Platforms

We label clothing regions, accessories and body landmarks for AR and virtual try-on, fit analysis, and real-time garment detection.

06
Choosing the Right Annotation Type

Bounding Box, Polygon or Segmentation: Which Fits Your Project?

The annotation type you pick affects both model accuracy and labeling cost. Use this comparison to choose between the three based on garment complexity and what your pipeline needs. For a deeper breakdown of common labeling errors and IoU benchmarks, see our bounding box annotation mistakes guide.

Criteria Bounding Box Polygon / Keypoint Semantic Segmentation
Shape Output Rectangle enclosing the garment Precise outline or body landmark points Pixel-level mask per garment class
Best For Product detection, catalog enrichment, attribute tagging at scale AR/VR try-on, garment silhouette, body landmark fitting Outfit parsing, fabric texture analysis, full scene understanding
Annotation Speed Fastest — single drag per item Moderate — point-by-point tracing Slowest — pixel-level per class
Cost Efficiency Highest — scales well at volume Medium — higher effort per image Lowest — highest effort per image
Garment Precision Object-level (includes background) High — garment boundary + landmark Closest fit to the garment shape
Attribute Tagging Excellent — paired with bbox labels Moderate — focus on geometry Class-level tags only
Common Fashion Use Cases Visual search, catalog AI, e-commerce recommendation, style classification AR try-on, body-garment fitting, silhouette recognition, luxury labeling Outfit parsing, material detection, full-body scene analysis
Precise BPO Service Bounding Box Annotation → Polygon Annotation → Semantic Segmentation →

Not sure which annotation type fits your fashion AI project? Talk to our team. We'll recommend the right approach based on your product types, model architecture, and catalog requirements.

05
Full-Scale Capabilities

Fashion Image Annotation Capabilities

We label apparel, footwear and accessories: segmentation, attributes, landmarks and taxonomy mapping.

Fashion annotation services — bounding boxes, polygons, attribute tagging and apparel labeling by Precise BPO
✓
Bounding Boxes & Polygons Boxes and polygons around tops, bottoms, dresses, footwear, jewelry, handbags and accessories.
✓
Attribute-Level Tagging Tagging for fabric type, pattern, color tone, neckline, sleeve style, silhouette, texture, fit, length, and 50+ fashion attributes, structured so it loads cleanly into your models and search tools.
✓
Category Classification & Taxonomy Structured taxonomies for apparel, footwear, accessories, gender categories, and e-commerce catalogs, with hierarchies built to your product categories.
✓
Landmark & Keypoint Annotation Body joints, garment landmarks, and alignment points for AR/VR try-on and fit analysis.
✓
Style Recognition & Trend Mapping Tagging of style, season and brand features such as prints, cuts and trims, for trend analytics and style-based recommendation.
✓
Logo & Brand Identification Detection of logos, monograms, trims, and signature brand identifiers across premium and mass-market collections, supporting brand protection, counterfeit detection, and logo-based visual search.
06
How It Works

Our Fashion Annotation Workflow

01

Requirement Analysis

We work closely with your team to understand the attributes, taxonomy structure, annotation formats, and labeling expectations needed for your AI use case.

02

Secure Setup & Access Control

Your imagery and catalog data stay in access-restricted environments, following ISO 27001 and GDPR-aligned practices. Access is role-based, and all annotators sign NDAs before project access.

03

Annotation & Quality Validation

Our fashion annotators label using bounding boxes, polygons, segmentation and detailed attribute tags. Each dataset goes through several quality checks: peer review, taxonomy consistency validation and expert audit.

04

Delivery & Scaling Support

Outputs are delivered as JSON, COCO, XML or CSV, or loaded straight into your platform (CVAT, Labelbox, SuperAnnotate, V7). We scale with catalog volume and seasonal collections.

05

Continuous Optimization & Feedback

We continuously refine labeling guidelines, attribute definitions, and taxonomy consistency standards based on model feedback and performance insights. This keeps the dataset aligned as your models, product range and use cases change.

Workflow Benefits
⚡ 24–48h Turnaround
Standard batch annotation delivered within 24–48 hours
🎯 Accuracy Target of Up to 99.8%
Three-stage QA validating attribute consistency and taxonomy alignment
📦 10K–10M+ Images
Scales from small catalogs to large product databases
💰 40–60% below US/UK rates
Delivered from India vs in-house US/UK teams, with a free pilot available
🔒 Security
NDA on every project, role-based access, audit trails
Start a free pilot →
07
Client Use Cases

Fashion AI & E-Commerce Use Cases

Examples of fashion annotation projects we have delivered, from catalog labeling to defect detection.

👟
Footwear & Accessories · France

Catalog Labeling for a 500K+ SKU Retailer

Client Need: Label shoes, bags, and jewelry for improved search and product discovery in a large e-commerce catalog spanning 500K+ SKUs.
Solution: High-volume bounding box annotation and attribute tagging covering category, color, material, brand, and style attributes for visual search enrichment.
  • ✓Catalog updates with consistent attribute coverage
  • ✓500K+ SKUs labeled to one taxonomy
🥽
Fashion App · UK

Object Detection for Virtual Try-On

Client Need: Large-scale object detection for virtual try-on, annotating clothing and accessories for a fashion app serving UK and EU markets.
Solution: Bounding boxes and keypoint annotation for clothing regions, accessories, and body alignment points, so the app can overlay garments in real time and infer fit.
  • ✓Labels delivered to the client's keypoint guide
  • ✓Clothing, accessory, and body-alignment labels in one dataset
  • ✓Garment anchor points labeled for real-time overlay
💎
Luxury Fashion · Germany

Luxury Fashion Attribute Tagging

Client Need: Deep attribute tagging for premium fashion collections requiring pixel-level precision on fabrics, trims, and brand identifiers across seasonal collections.
Solution: Polygon annotation, fabric texture tagging, brand logo mapping, and 50+ attribute labels for luxury product categories with three-stage QA and luxury-domain specialist review.
  • ✓Enriched product records for each seasonal collection
  • ✓Seasonal collections turned around within 24–48 hours
👕
Apparel Platform · US

Apparel Multi-Attribute Annotation

Client Need: Attribute tagging across thousands of images per week for a major US apparel platform, covering color, pattern, fit, silhouette, and material to power automated catalog management.
Solution: Category mapping, color and pattern tagging, and semantic segmentation with structured COCO-JSON output integrated directly into the client's AI training pipeline.
  • ✓Structured COCO JSON delivered straight into the client's training pipeline
  • ✓Weekly throughput scaled from 10K to 80K images
🌐
Fashion Retail · Australia & Netherlands

Visual Search & AR/VR Try-On Datasets

Client Need: Annotated datasets for virtual try-on, AR/VR, and visual search systems serving both the Australian and Dutch fashion retail markets.
Solution: Clothing regions and accessories labeled using bounding boxes, polygons, and landmark keypoints, with multi-class attribute tags for color, pattern, and garment category supporting cross-region model deployment.
  • ✓One shared taxonomy across both markets
  • ✓Cross-region model trained on one annotated dataset
🏭
Textile Manufacturing · India & Bangladesh

Defect Detection & QC Automation

Client Need: Fashion manufacturers needed annotated defect images (stitching faults, fabric tears, pattern misalignments) to train automated quality inspection AI for production lines.
Solution: Bounding box and polygon annotation for defect categories across thousands of production samples, with class hierarchies for defect type, severity, and fabric zone.
  • ✓Defect detection model accuracy improved by 26%
  • ✓Less manual QC work per production batch
  • ✓Real-time inspection AI deployed across three factory lines
Tool & Platform Compatibility

Tools, Formats and Secure Delivery

We work in the tools you already use, such as CVAT, Labelbox, SuperAnnotate and V7. If you don't have one, we can recommend a setup.

🖥️Annotation Platforms
CVAT (Computer Vision Annotation Tool) Labelbox SuperAnnotate V7 Darwin Label Studio Roboflow Annotate Scale AI Platform Custom / In-house Tools
📁Export Formats
COCO-style JSON JSON (custom schema) XML / Pascal VOC CSV tabular export LabelMe JSON TFRecord (TensorFlow) YOLO format Custom schema on request
🤖Pipelines We Deliver To
PyTorch / TorchVision TensorFlow / Keras YOLOv5 · YOLOv8 · YOLOv9 OpenCV pipelines
🔒Secure Transfer
Encrypted SFTP AWS S3 (private bucket) Google Cloud Storage Azure Blob Storage Secure client portals Encrypted email delivery NDA on every engagement ISO 27001-aligned & GDPR-aligned
09
Why Precise BPO

Why Fashion AI Teams Work With Us

Precise BPO is an India-based data operations company, in business since 2008. Our 540+ in-house annotators label apparel, footwear and accessory images for fashion brands, AI startups and e-commerce teams in 27+ countries.

Start a free pilot →
⚡
18+ Years in Business

Nearly two decades running data operations for global clients, with labeling workflows added in 2017.

👥
540+ in-house annotators

In-house annotators trained on your guidelines, working under NDA. No crowdsourced workers.

🔒
ISO 27001 & GDPR-aligned

Secure access control, NDA-bound workflows, and automated security monitoring help keep your catalog and imagery datasets protected.

🎯
Accuracy Target of Up to 99.8%

Three-stage QA combining taxonomy validation, attribute consistency checks, peer review, and expert audit on every batch.

💰
40–60% below US/UK rates

Delivered from India, with no hidden fees and a free pilot batch before any commitment to full-scale annotation.

🔧
Your Tools, Your Format

We work inside your annotation platform and deliver in your schema, so there is nothing to migrate.

Precise BPO annotators reviewing labeled fashion images
Quality Assurance

Three-Stage QA Before Every Delivery

Every apparel and footwear dataset passes three QA checks before delivery. Together they catch attribute errors, taxonomy mismatches and labeling mistakes before they reach your model.

Stage 1 Annotator + Peer
→
Stage 2 Taxonomy Validation
→
Stage 3 Expert Audit + Delivery
1
✓

Annotator Self-Check & Peer Review

Human-driven first pass by the annotator, then cross-checked by a senior peer. Catches attribute placement errors, category mismatches, and guideline deviations before any automated scoring.

Annotator reviews attribute assignments, bounding box placement, and polygon accuracy against project labeling guidelines before submitting
Senior annotator cross-checks taxonomy consistency, color/pattern correctness, and class assignment uniformity across the batch
Batches that fail the first-stage threshold are returned for correction before moving on to taxonomy validation
Error Catch Rate at Stage 1~82%
2
✓

Taxonomy & Attribute Consistency Validation

Automated and semi-automated taxonomy checks verify attribute completeness, class-value consistency, and edge-case handling against the project's labeling schema.

Cross-dataset taxonomy consistency check: the same garment types must be labeled identically across all batches
Attribute completeness validation: required fields, valid value ranges, and co-occurrence rules enforced
Edge-case review for overlapping items, occluded garments, and complex multi-item images
Error Catch Rate at Stage 2~94%
3
✓

Expert Audit & Client Delivery

Final audit by a senior quality lead using statistical sampling, to confirm accuracy before the batch is released to you.

Expert audit samples 10–15% of each batch, verifying pixel-level accuracy, attribute quality, and taxonomy hierarchy compliance
Final accuracy score computed per batch. Batches below the 99.8% threshold are sent for selective rework
Approved batches formatted, packaged, and delivered securely in client-specified output format
Accuracy TargetUp to 99.8%
How We Compare

In-House Team vs. Generic BPO vs. Precise BPO

A side-by-side look for teams deciding whether to outsource fashion image annotation.

Criteria In-House Team Generic BPO Precise BPO
Annotation Accuracy ✕Depends on your own training and QC setup ⚠No fashion-specific taxonomy checks ✓Target of up to 99.8% — three-stage fashion QA
Setup Time ✕8–12 weeks — hire, train, tool, taxonomy ⚠3–5 weeks ✓Pilot starts within 48 hours after the NDA is signed; pilot delivery takes 24–48 hours, where applicable
Scalability for Surge Volumes ✕Fixed headcount, slow ramp ⚠Limited, delays common ✓540+ in-house team, scales with notice to 10M+ images
Cost vs US/UK Rates ✕Baseline — salary + infra + tools ⚠25–35% savings ✓40–60% below US/UK rates
ISO 27001-aligned security ✕You build and audit your own security controls ⚠Certification and access controls differ by vendor ✓ISO 27001 and GDPR-aligned
Fashion Domain Expertise ⚠Slow and costly to build in-house ⚠Generic annotators, no taxonomy depth ✓Annotators trained on fashion taxonomies; 50+ attributes
Attribute Tagging Depth ⚠Limited coverage, inconsistent ⚠Basic labels only ✓50+ attributes — color, pattern, silhouette, fabric & more
Free Trial / Pilot ⚠Not applicable: you hire and train before the first batch ⚠Pilot terms differ by vendor ✓Free pilot batch, no commitment

Accuracy Benchmarks

Precise BPO Fashion Accuracy TargetUp to 99.8%
Typical vendor (our estimate)91%
Crowd-sourced platforms (our estimate)80%

Throughput Capacity

Images / Day (Peak)150K+
Fashion Images Annotated (to Date)48M+
Audit Pass Threshold99.8%
12
Pricing

Fashion Annotation Pricing & Engagement Models

Pricing is based on your volume and timeline, with no platform fees and no lock-in. Every engagement starts with a free pilot batch, so you can check the work before you commit.

🖼️
Per Image

Standard Catalog Batches

Pay per annotated image. Ideal for defined catalog datasets, seasonal collection launches, or e-commerce teams building initial labeled product sets at a predictable per-unit cost.

–Product catalog labeling
–Attribute tagging batches
–Visual search datasets
🏷️
Per Attribute

Rich Attribute Datasets

Priced per attribute tag. Purpose-built for deep fashion labeling where multiple attributes (color, pattern, neckline, sleeve, fabric) are applied per item and each label is billed individually.

–Luxury attribute tagging
–Taxonomy enrichment
–Search enrichment
⏱
Per Hour

Complex and AR/VR Datasets

Hourly model for high-complexity annotation (polygon garment segmentation, body landmark fitting, brand logo mapping) where per-image pricing doesn't reflect actual annotation effort.

–AR try-on keypoint annotation
–Luxury polygon labeling
–Logo detection
🔄
Monthly Retainer

Ongoing Pipelines

A dedicated fashion annotation team at fixed monthly capacity. Best for enterprises with continuous catalog updates, active-learning pipelines or recurring seasonal collections.

–Active learning pipelines
–Weekly catalog refreshes
–Seasonal model retraining
🛡️
Volume discounts available from 50K+ images/month. White-label pricing for BPO partners.
All engagement types include: NDA, ISO 27001-aligned security and a target of up to 99.8% accuracy.
Request a quote →
Global Delivery

Delivery Across Time Zones

Our team works across US, UK, European, Asia-Pacific and Australian business hours.

📍
North America
USA · Canada
Overlaps EST/PST hours
📍
United Kingdom
England · Scotland · Wales
Overlaps GMT hours
📍
Australia & NZ
Australia · New Zealand
Overlaps AEST hours
📍
Europe
Germany · France · Netherlands · Nordics
Overlaps CET hours
🌐
Asia-Pacific
Singapore · Japan · India · SEA
Overlaps IST/SGT hours
🌐
Middle East & Africa
UAE · Saudi Arabia · South Africa
Overlaps GST hours
🌐
Latin America
Brazil · Mexico · Argentina · Colombia
Overlaps EST/CST hours
🌐
Remote & Custom
Any other region or time zone
24/7 delivery
14
What Clients Say

What Teams Say About Precise BPO

Feedback from fashion AI, e-commerce and retail teams we have worked with.

★★★★★
”
"Precise BPO handled our entire apparel catalog of 200K+ SKUs with consistent attribute tags across color, pattern, and silhouette. The taxonomy alignment was exactly what our visual search model needed."
HP
Head of AI Products
Fashion Marketplace Platform — US
★★★★★
”
"We needed polygon-level segmentation for our AR try-on product. The accuracy from Precise BPO showed up in our model performance. Their India team integrated into our Labelbox workflow."
VC
VP of Computer Vision
Fashion Tech Startup — UK
★★★★★
”
"Luxury attribute tagging is extremely sensitive work. Precise BPO understood the nuance of our collections (fabric textures, trim details, brand identifiers) and delivered with the precision we needed. Cost savings versus our previous EU provider were significant."
DI
Digital Innovation Director
Luxury Fashion Brand — Germany
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Common Questions

Fashion Annotation — FAQs

Answers on workflow, security, accuracy, formats, scale and pricing.

Fashion image annotation services help structure visual product data so it can be used for search, recommendations, tagging and catalog management. Labeled garments, accessories, and attributes improve product discovery and visual similarity matching in fashion AI, retail platforms and analytics systems. See our guide to data labeling for broader context.

We annotate apparel, footwear, accessories and jewelry on studio images, flat lays, lifestyle shots and model catalog photos. The datasets are used for e-commerce catalogs, visual search, recommendation systems and fashion analytics. If the same catalog also needs product data entered or cleaned up, see our data entry outsourcing guide.

We label categories, colors, patterns, silhouettes, materials, sleeve types, necklines, lengths and style features, using bounding boxes, polygons, landmarks and attribute tags so items are classified consistently across your models and retail systems.

Yes. We work on datasets from 10K to 10M+ images, including ongoing catalog updates and seasonal collections, and keep the labeling consistent as the catalog grows.

Every project gets a written labeling guide and taxonomy, and each batch goes through peer review, taxonomy validation and a sampled expert audit, so similar items are labeled the same way throughout. See our annotation governance framework for how we apply these standards.

We deliver annotated data as JSON, XML, CSV, COCO or a custom schema. It loads directly into PyTorch, TensorFlow and YOLO training pipelines without reformatting.

We price per image, per attribute, per hour or as a monthly retainer, depending on the work. You can start with a short project, run recurring batches or set up a long-term program, and scale with image volume, new categories or seasonal demand. See our data labeling pricing guide or request a quote.

Our workflows are ISO 27001- and GDPR-aligned. Every annotator signs an NDA before getting project access, roles are permission-scoped, and automated security audits run across project environments.

Get Started

Ready to Start a Fashion Annotation Project?

Standard batches come back in 24–48 hours, with three-stage QA and a free pilot batch. Pricing is typically 40–60% below US/UK rates.

Start a free pilot → 📞 Call Us Now
Global Reach: USUnited States GBUnited Kingdom CACanada AUAustralia Europe Middle East APAC LATAM
16
Get in Touch

Tell Us About Your Catalog

Tell us what your model needs to learn, and we will send a free pilot batch and a quote. We also handle data labeling beyond fashion and online data entry under the same engagement.

🔒 ISO 27001-aligned 🇪🇺 GDPR-aligned 📝 NDA Signed Free Pilot
📞
💬
✉️
📍
Office
B3, Sant Namdev Marg, Varundavan Colony, Walhekarwadi, Gurudwara Colony, Nigdi, Pimpri-Chinchwad, Maharashtra 411033
🌍 Serving clients across US · UK · Canada · Australia · Europe · Middle East · APAC · LATAM

Request a Free Pilot

Get a response within one business day — no commitment required.

✅

Thank You! We'll Be in Touch Soon.

Your fashion annotation inquiry has been received. A member of our team will respond within one business day to discuss your project and arrange a free pilot batch.