Developer Docs: Object Detection
Object Detection feature enables users to obtain the classification and bounding box coordinates of objects within their uploaded images. Currently, it supports detection and identification across 80 distinct classes.
This transformation supports png, jpeg, jpg, webp, cr2, nef, rw2, dng, orf, raw, heic, heif, avif, tiff and tif type of files.
Output
Output Format: A JSON containing object name, bounding box coordinates and confidence values.
- Original Image
- Context API Response
- URL
- React
- JavaScript
- Node.js
- Python
- Golang
- Kotlin
- C#
- PHP
<PixelBinImage
url="https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765"
/>
import Pixelbin from "@pixelbin/core";
const obj = {
cloudName: "dummy-cloudname",
zone: "FIDrmb",
version: "v2",
transformations: [],
filePath: "images/transformation/car-person.jpeg",
baseUrl: "https://cdn.pixelbin.io",
};
const url = Pixelbin.default.utils.objToUrl(obj);
// url
// https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765
const Pixelbin = require("@pixelbin/admin");
const obj = {
cloudName: "dummy-cloudname",
zone: "FIDrmb",
version: "v2",
transformations: [],
filePath: "images/transformation/car-person.jpeg",
baseUrl: "https://cdn.pixelbin.io",
};
const url = Pixelbin.url.objToUrl(obj);
// url
// https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765
from pixelbin.utils.url import obj_to_url
obj = {
"cloudName": "dummy-cloudname",
"zone": "FIDrmb",
"version": "v2",
"transformations": [],
"filePath": "images/transformation/car-person.jpeg",
"baseUrl": "https://cdn.pixelbin.io",
}
url = obj_to_url(obj)
# url
# https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765
package main
import (
"fmt"
"github.com/pixelbin-dev/pixelbin-go/v2/sdk/utils/url"
)
func main() {
obj := map[string]interface{}{
"cloudName": "dummy-cloudname",
"zoneSlug": "FIDrmb",
"version": "v2",
"transformations": []map[string]interface{}{
},
"filePath": "images/transformation/car-person.jpeg",
"baseUrl": "https://cdn.pixelbin.io",
"options": map[string]interface{}{},
}
urlstring, err := url.ObjToUrl(obj)
if err != nil {
fmt.Println(err)
}
}
// url
// https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765
import com.pixelbin.url.UrlObj
import com.pixelbin.Utils
import com.pixelbin.transformation.TransformationObj
fun main(){
val obj = UrlObj(
cloudName = "dummy-cloudname",
zone = "FIDrmb",
version = "v2",
transformation = arrayListOf(
),
filePath = "images/transformation/car-person.jpeg",
baseUrl = "https://cdn.pixelbin.io"
)
val url = Utils.objToUrl(obj)
}
// url
// https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765
using System;
using System.Collections.Generic;
using System.IO;
using Pixelbin.Utils;
namespace ExampleNamespace
{
class ExampleClass
{
static void Main(string[] args)
{
UrlObj obj = new UrlObj(
version: "v2",
cloudName: "dummy-cloudname",
filePath: "images/transformation/car-person.jpeg",
zone: "FIDrmb",
baseUrl: "https://cdn.pixelbin.io",
transformations: new List<UrlTransformation>() {
}
);
string url = Url.ObjToUrl(obj);
}
}
}
// url
// https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765
<?php
require 'vendor/autoload.php';
use Pixelbin\Utils\Url;
$obj = [
"cloudName" => "dummy-cloudname",
"zone" => "FIDrmb",
"version" => "v2",
"options" => [],
"transformations" => [
],
"filePath" => "images/transformation/car-person.jpeg",
"baseUrl" => "https://cdn.pixelbin.io",
];
$url = Url::obj_to_url($obj);
// url
// https://cdn.pixelbin.io/v2/dummy-cloudname/FIDrmb/original/images/transformation/car-person.jpeg?v=1763640455765
?>
{
"output": {
"car": [
{
"xmin": 61,
"xmax": 638,
"ymin": 107,
"ymax": 360,
"confidence": 0.942
}
],
"person": [
{
"xmin": 393,
"xmax": 506,
"ymin": 105,
"ymax": 392,
"confidence": 0.893
}
]
}
}