Curb in a residential area Detection Dataset
Generate AI-labeled curb detection images in a residential area. Ready for YOLO, COCO, and Pascal VOC — no manual labeling required.
How to generate a curb dataset
Describe your object
Enter "curb" as your target object and describe the environment: "in a residential area".
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 curb in a residential area
- 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 curb detection
A curb detection dataset is useful for training object detection models that need to identify and locate curb instances in a residential area. 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 curb in a residential area 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 Traffic Signs Datasets
Stop sign in a residential area
Detection dataset
Fire hydrant in rain
Detection dataset
Crosswalk on a highway
Detection dataset
Street light in a residential area
Detection dataset
Curb near a school
Detection dataset
Pothole in a city
Detection dataset