Badge in a holster Detection Dataset
Generate AI-labeled badge detection images in a holster. Ready for YOLO, COCO, and Pascal VOC — no manual labeling required.
How to generate a badge dataset
Describe your object
Enter "badge" as your target object and describe the environment: "in a holster".
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 badge in a holster
- 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 badge detection
A badge detection dataset is useful for training object detection models that need to identify and locate badge instances in a holster. 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 badge in a holster 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
Rifle at a border
Detection dataset
Taser at an entrance
Detection dataset
Body armor at a government building
Detection dataset
Security camera in a security office
Detection dataset
Body armor at a checkpoint
Detection dataset
Handgun on a belt
Detection dataset