Bounding Box Annotation Services for Object Detection
Tight, consistently labeled boxes for images and video, drawn by our in-house team from your class list and edge-case rules. Every batch is reviewed by a second person before it reaches you.
Your own images, labeled free. NDA available on request.
- NDA on requestData used for your project only
- Two-stage reviewAnnotator, then reviewer
- Three shiftsWork moves around the clock
1 object labeled
0 0.500 0.549 0.126 0.344
class · x_center · y_center · width · height
Boxes from real detection projects
Drag to compare the raw frame with the delivered labels.
BeforeAfter
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Pedestrians and vehicles
An overhead street scene for driver-assistance and traffic models. Every pedestrian and the car get their own box and class, including the people cut off at the edge of the frame.
- Classes
pedestriancar- Objects
- 8 boxes
- Used for
- Autonomous driving, traffic analytics
Set up around your classes, rules and format
From a few hundred product photos to millions of video frames.
Image bounding boxes
2D boxes for detection and counting, any number of objects and classes per image.
Video bounding boxes
Frame-by-frame boxes for moving objects in traffic, retail, sports and security footage.
Long class lists
We follow your taxonomy exactly and ask when an object doesn’t fit any class.
AI pre-label correction
Send model-generated boxes and we fix the misses, drift and edge cases.
The thousandth batch, labeled like the first
Fixed rules for every annotator, a reviewer on every batch, and your data kept under control from first sample to final delivery.
Tight to the visible edge
Boxes touch the outermost visible pixels. No padding, nothing cut off.
Edge cases agreed in writing
Occlusion, truncation and minimum size are signed off on the pilot, not guessed later.
One standard for the whole team
One class list and one set of examples, so image 10 and image 10,000 match.
Reviewed before delivery
A reviewer checks every batch. Anything off-spec is fixed at no extra cost.
How we handle your data
- NDA available on request
- Access limited to the people on your project
- No personal devices. Files stay on company systems
- Deleted after delivery when you ask
Pilot first. Commit after.
No contract or payment until you have seen your own data labeled and approved the quote.
- STEP 01
Share samples and rules
A sample link and your class list, or just what the model needs to detect.
- STEP 02
Free pilot batch
We label it in your format and note every edge-case decision we made.
- STEP 03
Fixed quote and schedule
A per-box price and batch plan based on your real data, not a guess.
- STEP 04
Batches on schedule
Reviewed files with progress updates from one project manager.
Built for one-off datasets and ongoing pipelines
Team size is planned around your volume and deadline. Large datasets ship in batches so training can start while labeling continues.
Project
A fixed dataset with a deadline. Scoped, labeled and delivered in batches.
Ongoing stream
New data arrives daily or weekly and comes back labeled on a set turnaround.
Dedicated team
Annotators trained on your guidelines and kept on your work, across three shifts.
Used by teams in automotive, retail, agriculture, healthcare, manufacturing, security and robotics.
Is a bounding box the right label?
A bounding box is a rectangle drawn around each object and tagged with a class. It teaches a detector what an object is and where it sits, and works with YOLO, SSD and Faster R-CNN.
When the exact outline matters, polygons or pixel masks are the better fit. Not sure? We’ll recommend one on the pilot.
| Label type | Best for | Detail | Link |
|---|---|---|---|
| Bounding box THIS PAGE | Detection, counting, tracking | Rectangle | |
| Polygon | Irregular shapes, products, rooftops | Follows the outline | View |
| Semantic segmentation | Scene understanding, aerial, medical | Every pixel | View |
| Pre-label correction | Large sets with model labels to fix | Same as final type | View |
Before you send data
What AI teams ask us most before a pilot.
We are happy to sign an NDA on request. Access is limited to the people on your project, files stay off personal devices, and we delete your data after delivery when you ask.
Yes. Send your class list and rules, and we confirm how we will handle edge cases on the free pilot before the full project starts.
Every batch is checked by a reviewer before delivery. Anything that breaks your rules goes back for correction and is fixed at no extra cost before it reaches you.
Yes. We work on projects from 1,000 images to several million, and plan delivery in batches so you can start training early.
Prices start at $0.02 per box. The final rate depends on objects per image, the number of classes and how detailed your guidelines are. We fix the price after the free pilot.
Automotive and driver assistance, retail, agriculture, healthcare, manufacturing, security and robotics are the most common. Any project that needs to find and count objects can use it.
Start with a free pilot on your own data
Send a sample link and your class list. You get back:
- Labeled samples in your format
- Notes on every edge-case decision
- A fixed per-box quote and delivery plan
Rather talk first? Email info@graphicsartssolution.com. We usually reply within 24 hours.
No payment details. NDA available on request.