DataTerminal Logo

Transforming data into actionable insights with cutting-edge AI and analytics solutions.

Quick Links

  • About
  • Services
  • Solutions
  • Careers
  • Contact

Contact Us

  • contact@dataterminal.co
  • +91-9014387222
  • 9th Floor, The District, Financial District, Hyderabad, Telangana, India - 500032

© 2026 DataTerminal. All rights reserved.

Privacy PolicyTerms of Service
2026 Definitive Guide · Updated June 2026

2D Bounding Box
Annotation Services

The complete resource for sourcing, evaluating, and working with 2D bounding box annotation providers in 2026 — types, tools, pricing, use cases, and the top 10 vendors ranked by IoU accuracy.

Get Free 500-Image Pilot →View Top 10 Providers
99.5%
IoU Accuracy
24H
Turnaround
10M+
Images Annotated
50+
AI Teams Served
₹3
Starting Price/Image
ISO
27001 Certified
◆COCO JSON◆YOLO TXT◆Pascal VOC◆IoU ≥ 0.90◆24H TURNAROUND◆ISO 27001◆OBJECT DETECTION◆AUTONOMOUS VEHICLES◆MEDICAL IMAGING◆RETAIL AI◆FREE PILOT◆INR INVOICING◆COCO JSON◆YOLO TXT◆Pascal VOC◆IoU ≥ 0.90◆24H TURNAROUND◆ISO 27001◆OBJECT DETECTION◆AUTONOMOUS VEHICLES◆MEDICAL IMAGING◆RETAIL AI◆FREE PILOT◆INR INVOICING
What We Annotate

Six Types of
Bounding Box Annotation

Not all bounding boxes are the same. The right type depends on your model architecture, data domain, and accuracy requirements.

▣
Axis-Aligned Bounding Boxes
Standard horizontal rectangles — the fastest, most widely supported format. Ideal for YOLO, SSD, and Faster R-CNN training pipelines.
YOLOCOCOPascal VOC
◈
Rotated / Oriented Boxes
Angled bounding boxes (OBB) for aerial imagery, satellite data, and drone footage where objects appear at non-standard orientations.
Drone AISatelliteAerial
⊡
Tight Bounding Boxes
Precision-fitted boxes with IoU ≥ 0.90 — used in medical imaging, surgical robotics, and applications where pixel-perfect localisation is non-negotiable.
MedicalRoboticsPrecision
⊞
Loose / Context Boxes
Padded bounding boxes that include surrounding context — used for face detection, pose estimation, and retail product recognition.
Face AIPoseRetail
⬡
Video Object Tracking
Frame-by-frame bounding boxes with consistent track IDs across video sequences for Multi-Object Tracking (MOT) and action recognition models.
MOTSORTByteTrack
⊟
Occluded Object Annotation
Bounding boxes for partially visible, overlapping, and truncated objects — the hardest annotation task, essential for real-world autonomous vehicle datasets.
AVCrowdsOcclusion
Industries We Serve

Bounding Box Annotation
Across Every Vertical

From autonomous vehicles to precision agriculture — every computer vision vertical relies on high-accuracy bounding box annotation as its foundation.

🚗
Autonomous Vehicles
Annotate cars, pedestrians, cyclists, traffic signs, and road markings across KITTI, nuScenes, and Waymo-format datasets. IoU ≥ 0.85 for every frame.
Volume: 100K+ frames/dayStandards: KITTI · nuScenes · Waymo
🔬
Medical Imaging
Tumour detection, organ localisation, diabetic retinopathy screening, and surgical instrument tracking. HIPAA-aware workflows, tight IoU ≥ 0.90.
Volume: DICOM · NIfTI supportedStandards: HIPAA · ISO 13485
🛍
Retail & E-commerce
Product detection, shelf planogram compliance, inventory AI, and visual search for Flipkart, Amazon India, and D2C brands.
Volume: 50+ object classesStandards: SKU Detection · Planogram
🌾
Agriculture AI
Crop disease detection, pest identification, yield estimation, and drone imagery annotation for precision farming and agri-tech startups.
Volume: UAV · MultispectralStandards: RGB · NIR · Thermal
📹
Security & Surveillance
Person detection, vehicle tracking, crowd analytics, and intrusion detection across CCTV and IP camera feeds at 24/7 scale.
Volume: Real-time compatibleStandards: H.264 · RTSP · MP4
🛸
Drone & Aerial
Rotated bounding boxes for satellite imagery, aerial surveys, infrastructure inspection, and disaster response mapping from drone footage.
Volume: GSD down to 5cmStandards: GeoTIFF · Orthomosaic
Why Data Terminal

The Numbers
Don't Lie

99.5%
IoU Accuracy
Three-stage QA: annotator → reviewer → automated IoU check. Every batch verified before delivery.
24H
Turnaround
Up to 25,000 images in 24 hours. IST timezone enables overnight delivery for US clients.
60%
Cost Saving
vs US/UK vendors — without any compromise in accuracy, quality, or format compliance.
10M+
Images Annotated
Across AV, medical, retail, and agriculture datasets since 2022.
500
Free Pilot Images
Zero commitment. Validate accuracy and workflow before you place a bulk order.
0
Minimum Order
Start with 100 images or 1,000,000 — same SLA, same QA, same dedicated PM.
Market Rankings

Top 10 Bounding Box
Annotation Providers 2026

Ranked by IoU accuracy, turnaround speed, pricing transparency, and industry specialisation.

#ProviderAccuracyTurnaroundPrice/ImageSpeciality
#1
Data Terminal
Hyderabad, India
99.5%24h₹3–₹9BEST OVERALL
#2
Anolytics
India
98.5%48h₹5–₹12AV SPECIALIST
#3
Cogito Tech
New Delhi
98%48–72h₹6–₹14ENTERPRISE
#4
iMerit
Kolkata
98%48h₹7–₹15AI TRAINING
#5
Shaip
India / USA
97.5%48–72h₹6–₹13HEALTHCARE
#6
Labellerr
Bangalore
97%48h₹5–₹11PLATFORM
#7
DataForce
India Ops
97%48–72h₹8–₹18GLOBAL
#8
Cloudfactory
India / Nepal
96.5%72h₹7–₹16AGRICULTURE
#9
Scale AI
India Network
96%72h₹10–₹22ENTERPRISE
#10
Tasq.ai
India
96%72–96h₹5–₹10STARTUPS
Transparent Pricing

What Does Bounding Box
Annotation Actually Cost?

Pricing depends on scene complexity, object count, and required accuracy. All tiers include three-stage QA, format conversion, and free delivery in COCO, YOLO, or VOC.

Simple
₹3–₹5
per image
  • 1 class, 1–3 objects/frame
  • Single annotation type
  • YOLO / COCO / VOC output
  • 24h turnaround
  • 2-stage QA included
Standard
₹5–₹9
per image
  • 2–5 classes, 4–10 objects/frame
  • Mixed annotation types
  • All format outputs
  • 24–48h turnaround
  • 3-stage QA + IoU report
Complex
₹9–₹22
per image
  • 5+ classes, 10–20+ objects
  • Occlusions + edge cases
  • Custom schema output
  • 48–72h turnaround
  • Senior annotators + QA gate
Video Tracking
₹0.50–₹2
per frame
  • Frame-by-frame + track IDs
  • MOT-compatible format
  • ByteTrack / SORT compatible
  • 48–72h turnaround
  • Consistency QA across frames

All pricing from Data Terminal. First 500 images free — no commitment required.

Tooling

Top Bounding Box
Annotation Tools 2026

Whether you're running an in-house pipeline or outsourcing — here are the tools your vendor should support.

ToolTypeBest For2D BB SupportPricing
CVATOpen SourceCustom pipelines✓ FullFree
LabelboxEnterprise SaaSTeam collaboration✓ Full$$$
RoboflowPlatformFast iteration✓ Full$$
V7 DarwinEnterprise SaaSAuto-annotation✓ Full$$$
SuperviselyPlatformComplex projects✓ Full$$
SuperAnnotateEnterprise SaaSQA workflows✓ Full$$$
FAQ

Everything You Need to Know
About Bounding Box Annotation

Common questions from AI teams sourcing 2D bounding box annotation services in 2026.

What are 2D bounding box annotation services?
2D bounding box annotation services involve drawing rectangular boxes around objects in images or video frames to train computer vision models. Professional service providers supply trained annotators, QA workflows, and delivery in formats like COCO JSON, YOLO TXT, or Pascal VOC XML. Businesses outsource this to specialist vendors to get high-accuracy training data faster and cheaper than building an in-house team.
How much do 2D bounding box annotation services cost in 2026?
2D bounding box annotation is priced at ₹3–₹22 per image in India (approximately $0.04–$0.26 USD). Simple single-object scenes start at ₹3–₹5. Complex multi-object scenes with 15+ objects, occlusions, and multiple classes range ₹10–₹22. Video tracking annotation is priced at ₹0.50–₹2.00 per frame. Indian providers deliver 60–70% cost savings compared to US or UK vendors at equivalent or higher accuracy.
What is the difference between 2D and 3D bounding box annotation?
2D bounding box annotation draws flat rectangles on images or video frames — the standard format for camera-based object detection. 3D bounding box (cuboid) annotation adds depth, height, and orientation to boxes drawn on LiDAR point clouds — used when spatial understanding matters (autonomous vehicles, robotics). 2D is faster and cheaper; 3D is more complex and requires specialised LiDAR annotation tools.
What accuracy standard should I require for bounding box annotation?
Require IoU (Intersection over Union) ≥ 0.85 as a minimum for production-grade annotation. For safety-critical applications (autonomous vehicles, medical AI), require IoU ≥ 0.90. Measure Inter-Annotator Agreement (IAA / Cohen's Kappa) ≥ 0.90 to verify annotator consistency. Data Terminal delivers 99.5% IoU-verified accuracy with a three-stage QA pipeline: annotator → reviewer → automated IoU check.
What output formats do bounding box annotation services support?
Top providers support all major computer vision formats: COCO JSON (most common), YOLO TXT (Darknet/Ultralytics), Pascal VOC XML (legacy), TensorFlow TFRecord, and custom CSV/JSON schemas. Data Terminal delivers in any format with no extra charge, plus a format conversion script if your pipeline uses a non-standard schema.
How fast can bounding box annotation services deliver?
Top Indian providers deliver 10,000–50,000 images within 24–48 hours for standard complexity. Data Terminal offers 24-hour turnaround on datasets up to 25,000 images. India's IST timezone (UTC+5:30) enables overnight delivery for US clients — submit by 6pm EST, receive annotated data by 9am EST the next morning.
What is IoU and why does it matter for bounding box quality?
IoU (Intersection over Union) measures how closely an annotated bounding box matches the ground truth. A score of 1.0 means perfect overlap; 0.0 means no overlap. Production models require training data with IoU ≥ 0.85 — below this threshold, object detection accuracy degrades significantly in edge cases. Always request IoU verification reports from your annotation vendor before accepting delivery.
Can bounding box annotation services handle video (not just images)?
Yes. Video bounding box annotation (object tracking) draws boxes on every frame and assigns consistent track IDs so the model can follow objects across sequences. This powers multi-object tracking (MOT) for autonomous vehicles, sports AI, and CCTV analytics. Data Terminal handles image and video annotation with frame interpolation to accelerate delivery without sacrificing accuracy.
What data security measures do annotation vendors use?
Top vendors are ISO 27001 certified and use AWS/GCP encrypted storage, NDA-protected workflows, VPN-secured annotation environments, and RBAC access control. For sensitive datasets, Data Terminal offers air-gapped annotation (no internet during annotation), PII masking, and full audit trails. GDPR-compliant handling available for EU clients.
Why is Data Terminal the best 2D bounding box annotation service?
Four reasons: (1) Accuracy — 99.5% IoU-verified vs 96–98% industry average; (2) Speed — 24-hour turnaround on up to 25,000 images; (3) Price — ₹3–₹9/image, 60–70% cheaper than US/UK; (4) Specialisation — dedicated vertical teams for AV, medical, retail, and agriculture. INR invoicing, no minimum order, free 500-image pilot. Zero risk to validate quality before you commit.

Ready to Train Your
Object Detection Model?

99.5% IoU accuracy. 24-hour turnaround. ₹3/image starting price.
Free 500-image pilot — zero commitment, full quality.

Start Free Pilot →View All Annotation Services
Share: