Object Detection
Detect and label objects with bounding boxes.
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Supports JPG, PNG, WebP, GIF, SVG, BMP — Max 10MB
How to Detect Objects
- Upload an image
- Adjust the confidence threshold
- Click Detect Objects and verify
What Is Object Detection?
Object detection goes beyond classification by not only identifying what objects are in an image but also locating exactly where each object is by drawing bounding boxes around them. Our tool uses Facebook's DETR (Detection Transformer) model to detect and label multiple objects simultaneously, providing both the category name and precise location of each detected item. This is used in autonomous vehicles, surveillance, inventory management, and image analysis applications.
Why Use Object Detection?
- ✓Count objects in images: Automatically count people, vehicles, products, or any other objects in photographs for inventory, crowd estimation, or traffic analysis.
- ✓Visual analysis: Understand the spatial layout and relationships between objects in complex scenes for research, security, or quality assurance.
- ✓Content description: Generate detailed descriptions of image content by knowing both what objects are present and where they are located.
- ✓Verify image content: Quickly verify that expected objects are present in product photos, security footage, or inspection images.
- ✓Data annotation: Use as a starting point for labeling training data for your own machine learning models.
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Object Detection Tips
Use Standard Viewing Angles
DETR performs best on images taken from typical viewing angles. Extreme overhead, microscopic, or highly artistic perspectives may reduce detection accuracy.
Good Resolution Helps
While the tool works with any image size, objects that appear very small in the image (under 32x32 pixels) may not be detected. Use higher resolution images for better small-object detection.
Review Bounding Boxes
The visual bounding box overlay shows exactly what the AI detected and where. Check that boxes align correctly with the objects and that no important objects were missed.
Frequently Asked Questions
What is the difference between classification and object detection?▼
Classification tells you what is in the image overall. Object detection tells you what objects are present AND draws bounding boxes showing exactly where each object is located. It can also detect multiple instances of the same object.
What objects can it detect?▼
DETR is trained on the COCO dataset which covers 80 common object categories including people, vehicles, animals, furniture, food, electronics, and more.
Can it detect multiple objects?▼
Yes. DETR excels at detecting multiple objects of different types simultaneously. It will find and label every recognizable object in the image.
How accurate is the detection?▼
DETR achieves competitive performance on the COCO benchmark. Detection accuracy is highest for medium and large objects in well-lit conditions with standard viewing angles.