Baton at a government building Detection Dataset
Generate AI-labeled baton detection images at a government building. Ready for YOLO, COCO, and Pascal VOC — no manual labeling required.
How to generate a baton dataset
Describe your object
Enter "baton" as your target object and describe the environment: "at a government building".
Choose format & quantity
Select YOLO, COCO, or Pascal VOC. Generate 10 to 5,000 images per batch.
Download & train
Get a .zip with images and auto-labeled bounding boxes. Ready for Ultralytics, PyTorch, or any framework.
What's in the dataset
Images
- AI-generated images of baton at a government building
- Varied lighting, angles, and compositions
- High resolution suitable for model training
- 10 to 5,000 images per job
Labels
- Auto-generated bounding box annotations
- Available in YOLO (.txt), COCO (.json), or Pascal VOC (.xml)
- Python visualizer script included
- Failed labels automatically refunded
Use cases for baton detection
A baton detection dataset is useful for training object detection models that need to identify and locate baton instances at a government building. Common applications include real-time monitoring, automated counting, safety compliance, quality inspection, and autonomous systems.
Using synthetic data lets you generate edge cases and rare scenarios that are difficult to capture in the real world. Need baton at a government building at different times of day, weather conditions, or angles? AI generation gives you infinite variety without the cost of manual photography and labeling.
Pricing
- No subscriptions — prepaid wallet, pay only for what you generate
- Failed images and labels automatically refunded
- Minimum deposit: $5 (that's 50 images)
Related Weapons Security Datasets
Radio at a government building
Detection dataset
Pepper spray in a vehicle
Detection dataset
Flashlight at an airport
Detection dataset
Flashlight at a government building
Detection dataset
Handcuffs at a border
Detection dataset
Metal detector at an airport
Detection dataset