Object Detection API

Advanced solution for multiple object detection and classification with precise bounding boxes. Identify and locate 1000+ object categories in images with enterprise-grade accuracy.

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Real-world Applications

E-commerce

Automatically categorize products, detect items in images, and enhance search functionality

Security & Surveillance

Real-time threat detection, access control, and automated monitoring systems

Manufacturing

Quality control, inventory management, and production line automation

Automotive

Autonomous vehicle perception, traffic analysis, and smart parking systems

Key Features & Capabilities

1000+ Object Categories

Comprehensive object recognition covering everyday items, vehicles, animals, food, and more

Precise Bounding Boxes

Accurate object localization with pixel-perfect coordinates and confidence scores

Real-time Processing

Lightning-fast analysis with sub-second response times for live applications

Batch Processing

Process multiple images simultaneously for maximum efficiency and throughput

Sample Detection Results

Person 98.5%

Car 95.2%

Bicycle 89.7%

Dog 92.1%

Quick Integration

API Example

import requests

# DeepRequest Object Detection API
url = "https://rapidapi.com/organization/deeprequest"
headers = {
    "X-RapidAPI-Key": "your-api-key",
    "X-RapidAPI-Host": "deeprequest.rapidapi.com"
}

# Analyze image
files = {"image": open("your-image.jpg", "rb")}
response = requests.post(url + "/object-detection", 
                        headers=headers, files=files)

# Process results
results = response.json()
for detection in results["detections"]:
    print(f"Object: {detection['class']}")
    print(f"Confidence: {detection['confidence']}")
    print(f"Location: {detection['bbox']}")