Computer Vision

Object Detection

Locate and classify every object in an image with precise bounding boxes. Detect dozens of object types in a single API call.

See it in action

These are real detection results from the API. Every bounding box, label, and confidence score shown is an actual response, not a mockup.

Window, Tree, House, Stairs detected

Confidence scores from 39.9% to 85.4%

10 objects identified in one call

Real-time bounding box coordinates

Window 85.4%

Tree 85.3%

Tree 80.4%

Stairs 75.3%

House 64.1%

Window 60.3%

Houseplant 55.5%

House 51.7%

Building 44.5%

Door 39.9%

Detecting... 0/10

Window

Tree

Stairs

House

Houseplant

Building

Door

How it works

Three steps from image to detected objects.

Upload Image

Send any image via our REST API or dashboard. JPEG, PNG, and WebP supported up to 25MB.

AI Analysis

Our model scans the image for hundreds of object categories, generating bounding boxes and confidence scores.

Get Results

Receive coordinates (x0, y0, x1, y1), labels, and confidence scores for every detected object.

Real-world use cases

See how teams use object detection in production.

Autonomous Vehicles

Detect pedestrians, vehicles, traffic signs, and obstacles in real-time for safe self-driving navigation.

Example: Fleet operators use our API to validate ADAS sensor data, detecting vehicles and pedestrians at 30fps with 95% accuracy.

Security & Surveillance

Monitor areas for people, vehicles, and suspicious objects. Trigger automated alerts when threats are identified.

Example: Airports process 500+ CCTV feeds simultaneously, detecting prohibited items in carry-on luggage with sub-second response.

Industrial Quality Control

Spot defective components, misaligned parts, and foreign objects on production lines automatically.

Example: Electronics manufacturers detect solder defects on PCBs at 200 units/minute, reducing manual inspection costs by 70%.

Retail Analytics

Count customers, track foot traffic patterns, and analyze product placement effectiveness in stores.

Example: Retail chains analyze shelf images to detect out-of-stock products in real-time, cutting lost sales by 25%.

Start detecting objects

50 free credits. No credit card required.