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Free Online Bounding Box Tool & AI Image Annotation Tool

The Online Bounding Box Tool for Automated Image Annotation

The fastest in-browser image annotation tool and bounding box generator. Draw, resize, or auto-detect custom objects with zero-shot AI vision. Export production-ready YOLOv8, YOLO11, and Rotated YOLO-OBB datasets in seconds.

No Credit Card Required YOLOv8, YOLO11 & CVAT Export Upright (AABB) & Rotated (OBB)
retail_cart.jpg
Zero-Shot Live Demo
# Output:
0 0.7070 0.4257 0.3203 0.2421

Built for Production Computer Vision Teams

Everything needed to move from raw unlabeled video/images to a trained YOLO model.

Zero-Shot Custom Classes

Detect any object without pre-training. Just specify what you want: "product in hand", "cracked solar panel", or "name on driving licence".

YOLO-OBB (Rotated Boxes)

Tilted retail products, diagonal cards, and aerial drone imagery are effortlessly framed with 8-point rotated bounding polygons.

50,000+ Image Ingestion

Drop entire 50GB ZIP archives. Our streamed ingestion unzips and queues files without freezing your browser memory.

Web-Based Annotation Suite

The Modern Online Bounding Box Tool for Computer Vision

Everything you need to create, edit, verify, and export bounding box annotations online without installing software.

Interactive In-Browser Bounding Box Editor

Draw, move, and reshape rectangular bounding boxes with 8 interactive drag handles. Zoom, pan, and review labels seamlessly with zero desktop software installation.

AI Zero-Shot Auto-Annotation Tool

Type natural language prompts for any custom object or class. Our backend vision models detect target bounding box coordinates and assign class IDs automatically.

Rotated Bounding Box (YOLO-OBB) Support

Generate 4-corner oriented bounding boxes with rotation angles for angled retail items, documents, drone aerial imagery, and medical imaging datasets.

One-Click YOLOv8, YOLO11 & CVAT Export

Download ready-to-train ZIP archives containing normalized coordinates, class lists, and dataset YAML files. Compatible with Ultralytics YOLO, PyTorch, and CVAT.

Predictable, Transparent Pricing

Pay for What You Label. 99% Cheaper Than Human Annotators.

Every plan includes standard YOLO AABB, Rotated OBB, manual editing, and ZIP export.

Knowledge Base

Frequently Asked Questions

Common questions about online bounding boxes, auto-labeling, and dataset formats.

What is the best online bounding box tool for image annotation?

Polytate is an in-browser online bounding box tool and AI annotation platform. It allows computer vision developers and data science teams to draw, resize, and automatically generate high-precision bounding boxes for custom classes without installing local desktop software.

Can I use this annotation tool online for free?

Yes! Every registered user automatically receives 10 free AI detection credits to test auto-labeling on their custom images, with unlimited manual bounding box drawing, editing, and dataset export.

Does this tool support rotated bounding boxes (YOLO-OBB)?

Yes. Polytate supports both Axis-Aligned Bounding Boxes (YOLO-AABB) and Oriented/Rotated Bounding Boxes (YOLO-OBB) with 8-point polygon coordinate normalization for angled objects, aerial drone photography, and document text.

Can I export directly to CVAT or YOLOv8/11?

Yes. The export button packages a ready-to-train ZIP archive containing normalized YOLO `.txt` labels, image folders, and `data.yaml` configuration files compatible with Ultralytics YOLOv8, YOLOv9, YOLO11, and CVAT.

How does Polytate compare to LabelImg and CVAT?

Unlike LabelImg or CVAT which require manual clicking for every single image or managing Docker servers, Polytate runs directly in the browser and leverages zero-shot AI vision to generate bounding boxes automatically from simple text prompts.

What if I have 50,000 images in a dataset?

Simply zip your images folder and upload via the "Upload Dataset (.ZIP)" button. Our backend streams the extraction without browser memory crashes, enabling large-scale batch annotation.

How does Polytate's zero-shot auto-annotation pipeline work?

When you enter a target prompt (such as "car", "retail product", or "circuit defect"), Polytate's proprietary zero-shot computer vision engine detects object coordinates in ~0.38 seconds, converts them into resolution-independent YOLO coordinates (AABB or Rotated OBB), and renders interactive drag handles on the canvas for instant human-in-the-loop verification.