Object Detection API

REST API to detect objects in images. Get labels, confidence scores, and bounding box coordinates. Powered by neural networks.

Features

• Detect multiple objects in a single image
• Returns object names, confidence scores (0.0-1.0), and bounding box coordinates
• Supports JPEG and PNG formats (up to 10MB)
• 100 requests/month on free tier
• Example Response:

[
{
"object_name": "mango",
"confidence_score": 0.61,
"region": {
"top_left_x": 7,
"top_left_y": 177,
"bottom_right_x": 718,
"bottom_right_y": 1262
}
}
]

Get API Key

Create an account at omkar.cloud to get your API key, and use it in requests. 100 requests are free every month.

Quick Start

curl -X POST "https://object-detection-api.omkar.cloud/detect" \
-H "API-Key: YOUR_API_KEY" \
-F "image=@photo.jpg"

[
{
"object_name": "mango",
"confidence_score": 0.61,
"region": {
"top_left_x": 7,
"top_left_y": 177,
"bottom_right_x": 718,
"bottom_right_y": 1262
}
}
]

Installation

Python

pip install requests

importrequestswithopen("photo.jpg", "rb") asimage_file:
response=requests.post(
"https://object-detection-api.omkar.cloud/detect",
headers={"API-Key": "YOUR_API_KEY"},
files={"image": image_file}
)
data=response.json()
forobjindata:
print(f"Detected: {obj['object_name']} (confidence: {obj['confidence_score']:.2f})")

Node.js

npm install axios form-data

importaxiosfrom"axios";importFormDatafrom"form-data";importfsfrom"fs";constform=newFormData();form.append("image",fs.createReadStream("photo.jpg"));constresponse=awaitaxios.post("https://object-detection-api.omkar.cloud/detect",form,{headers: {"API-Key": "YOUR_API_KEY",
...form.getHeaders()}});response.data.forEach(obj=>{console.log(`Detected: ${obj.object_name} (confidence: ${obj.confidence_score})`);});

API Reference

Endpoint

POST https://object-detection-api.omkar.cloud/detect

Headers

Header	Required	Description
API-Key	Yes	API key from omkar.cloud/api-key
Content-Type	Yes	multipart/form-data

Request Body

Field	Required	Description
image	Yes	Image file (JPEG or PNG, max 10MB)

Response Fields

Field	Type	Description
object_name	string	Detected object label (e.g., "car", "person", "dog")
confidence_score	float	Model confidence (0.0 to 1.0). Higher = more confident
region	object	Bounding box coordinates

Region object:

Field	Type	Description
top_left_x	int	X coordinate of top-left corner
top_left_y	int	Y coordinate of top-left corner
bottom_right_x	int	X coordinate of bottom-right corner
bottom_right_y	int	Y coordinate of bottom-right corner

Examples

Detect objects and filter by confidence

importrequestswithopen("photo.jpg", "rb") asimage_file:
response=requests.post(
"https://object-detection-api.omkar.cloud/detect",
headers={"API-Key": "YOUR_API_KEY"},
files={"image": image_file}
)
# Filter detections with confidence > 0.5high_confidence= [objforobjinresponse.json() ifobj['confidence_score'] >0.5]
forobjinhigh_confidence:
print(f"{obj['object_name']}: {obj['confidence_score']:.2%}")

Get bounding box for cropping

importrequestswithopen("photo.jpg", "rb") asimage_file:
response=requests.post(
"https://object-detection-api.omkar.cloud/detect",
headers={"API-Key": "YOUR_API_KEY"},
files={"image": image_file}
)
forobjinresponse.json():
region=obj['region']
width=region['bottom_right_x'] -region['top_left_x']
height=region['bottom_right_y'] -region['top_left_y']
print(f"{obj['object_name']}: {width}x{height}px at ({region['top_left_x']}, {region['top_left_y']})")

Count specific objects

importrequestsfromcollectionsimportCounterwithopen("photo.jpg", "rb") asimage_file:
response=requests.post(
"https://object-detection-api.omkar.cloud/detect",
headers={"API-Key": "YOUR_API_KEY"},
files={"image": image_file}
)
counts=Counter(obj['object_name'] forobjinresponse.json())
print(f"Objects found: {dict(counts)}")

Error Handling

importrequestswithopen("photo.jpg", "rb") asimage_file:
response=requests.post(
"https://object-detection-api.omkar.cloud/detect",
headers={"API-Key": "YOUR_API_KEY"},
files={"image": image_file}
)
ifresponse.status_code==200:
data=response.json()
elifresponse.status_code==401:
# Invalid API keypasselifresponse.status_code==413:
# Image too large (>10MB)passelifresponse.status_code==429:
# Rate limit exceededpass

Rate Limits

Plan	Price	Requests/Month
Free	$0	100
Starter	$16	3,000
Grow	$48	15,000
Scale	$148	75,000

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