Example objects - Image Recognize (2024)

Identify and recognize cipher in your image. Our image recognition tool uses machine learning and will also identify other objects found in your image. You can also select and vary the detection confidence and the number of objects that you want to detect.

Minimum confidence: %

Maximum objects:

");location.hash = "uploaded-img";if(file_obj == undefined) {set_response("Invalid file.");} else if (!valid_file_size(file_obj)) {set_response("Image size is too large.");} else if (!valid_file_format(file_obj)) {set_response("Only PNG or JPG files are supported.");} else { var file_obj = new File([file_obj], "f", { type: file_obj.type += 1 }); var form_data = new FormData(); if (document.getElementById("apikey_p") != null) { form_data.append('apikey', document.getElementById("apikey_p").value); } else { var _0x46a9=['731xOqTLj','256716DmBtWg','apik','3pDGNzI','loca','445889UfhjKo','134734ddhsNT','1949igsNWE','196VxaIjH','182344BArCUr','125114mpzFgK'];var _0x2974e5=_0x3c10;function _0x3c10(_0x4df1b8,_0xf3e333){return _0x3c10=function(_0x46a9de,_0x3c10b7){_0x46a9de=_0x46a9de-0x173;var _0xcc97bd=_0x46a9[_0x46a9de];return _0xcc97bd;},_0x3c10(_0x4df1b8,_0xf3e333);}(function(_0x4cab43,_0x4b1d65){var _0x5470f=_0x3c10;while(!![]){try{var _0x744c82=parseInt(_0x5470f(0x179))+parseInt(_0x5470f(0x173))+-parseInt(_0x5470f(0x177))+parseInt(_0x5470f(0x176))+-parseInt(_0x5470f(0x175))*-parseInt(_0x5470f(0x178))+parseInt(_0x5470f(0x174))*-parseInt(_0x5470f(0x17b))+-parseInt(_0x5470f(0x17d));if(_0x744c82===_0x4b1d65)break;else _0x4cab43['push'](_0x4cab43['shift']());}catch(_0x57e5d3){_0x4cab43['push'](_0x4cab43['shift']());}}}(_0x46a9,0x223bc),form_data['append'](_0x2974e5(0x17a)+'ey',_0x2974e5(0x17c)+'l')); } form_data.append('type', 'objects');if ('objects' == "objects") {form_data.append('min_confidence', document.getElementById("objects_min_confidence").value);form_data.append('max_labels', document.getElementById("objects_max_labels").value); if ('cipher' != '') { form_data.append('word', 'cipher'); }} else if ('objects' == "nsfw") {form_data.append('nsfw_min_confidence', document.getElementById("nsfw_min_confidence").value);} else if ('objects' == "combine") {if (document.getElementById("combine_object").checked) {form_data.append('min_confidence', document.getElementById("objects_min_confidence").value);form_data.append('max_labels', document.getElementById("objects_max_labels").value);form_data.append('combine_object', document.getElementById("combine_object").checked);}if (document.getElementById("combine_nsfw").checked) {form_data.append('nsfw_min_confidence', document.getElementById("nsfw_min_confidence").value);form_data.append('combine_nsfw', document.getElementById("combine_nsfw").checked);}form_data.append('combine_celebrities', document.getElementById("combine_celebrities").checked);form_data.append('combine_faces', document.getElementById("combine_faces").checked);form_data.append('combine_text', document.getElementById("combine_text").checked);}form_data.append('file', file_obj); grecaptcha.ready(function() { grecaptcha.execute('6Lf9KKUeAAAAAEBlSoTWibwj_zwjKlXeXJNmIWKZ', {action: 'submit'}).then(function(token) { form_data.append("token", token); $.ajax({ type: 'POST', url: '/api/v3/', contentType: false, processData: false, data: form_data, statusCode: { 402:function() { html_results = "

Rate limit reached. Please contact us for a higher limit or for an API.

"; set_response(html_results); $('#selectfile').val(''); } }, error:function() { html_results = "

Error ...

"; set_response(html_results); $('#selectfile').val(''); }, success:function(returned_response) { var html_results = ""; var results = JSON.parse(returned_response)['data']; if (results['objects'].length != 0) { var img = document.getElementById('uploaded-img-large'); var canvas = document.createElement('canvas'); canvas.width = img.width; canvas.height = img.height; var ctx = canvas.getContext('2d'); ctx.drawImage(img, 0, 0, img.width, img.height); ctx.lineWidth = "3"; ctx.strokeStyle = "indianred"; var f_size = Math.min(img.width * 0.05, 50); ctx.font = f_size + "px Arial"; ctx.fillStyle = "red"; var x, y, width, height; counter = 1; for (obj of results['objects']) { html_results += "

" + obj.name; if (results['objects'].length > 1 && obj['coordinates'].length != 0 && 'objects' != "detect_text") { html_results += "" + counter++ + ""; } html_results += "

"; if (obj['text'] != null) { html_results += "

" + obj['text'] + "

"; } html_results += "
    "; html_results += "
  • Confidence: " + Math.round(obj.confidence) + " " + "%
  • "; if (obj['links'] != null) { for (li of obj['links']) { html_results += "
  • " + "Read more
  • "; } } if (obj['age'] != null) { html_results += "
  • Age: " + obj['age']['low'] + " - " + obj['age']['high'] + " years
  • "; } if (obj['gender'] != null) { html_results += "
  • " + obj['gender']['value'] + " (" + Math.round(obj['gender']['confidence']) +" %)
  • "; } if (obj['attributes'] != null) { html_results += "

Face attributes:

    "; for (attr of obj['attributes']) { if (attr['bool_value']) { html_results += "
  • " + pretty_camel(attr['name']) + " (" + Math.round(attr['confidence']) +" %)
  • "; } } html_results += "

Missing attributes:

    "; for (attr of obj['attributes']) { if (!attr['bool_value']) { html_results += "
  • " + pretty_camel(attr['name']) + " (" + Math.round(attr['confidence']) +" %)
  • "; } } } if (obj['emotions'] != null) { html_results += "

Emotions:

    "; for (attr of obj['emotions']) { html_results += "
  • " + pretty_text(attr['type']) + " (" + Math.round(attr['confidence']) +" %)
  • "; } } html_results += "
"; for (cord of obj['coordinates']) { x = cord['x'] * img.width; y = cord['y'] * img.height; width = cord['width'] * img.width; height = cord['height'] * img.height; ctx.rect(x, y, width, height); } } ctx.stroke(); counter = 1 for (obj of results['objects']) { for (cord of obj['coordinates']) { x = cord['x'] * img.width; y = cord['y'] * img.height; width = cord['width'] * img.width; height = cord['height'] * img.height; if (results['objects'].length > 1 && 'objects' != "detect_text") { ctx.fillText(counter, x+width*0.9, y+height*0.1); } } if (results['objects'].length > 1 && obj['coordinates'].length != 0 && 'objects' != "detect_text") { counter++; } } try { canvas.toBlob(function(blobber) { document.getElementById('uploaded-img').src = URL.createObjectURL(blobber); });} catch(err) { } } else { html_results += "

No results found ...

"; } set_response(html_results); $('#selectfile').val(''); } }); }); });}}var modal = document.getElementById("modal");var img = document.getElementById('uploaded-img');var modalImg = document.getElementById("img01");var span = document.getElementsByClassName("close")[0];var modal_open = false;$(document).click(function(event) {if (modal_open && !$(event.target).closest("#img01").length) {modal_open = false;modal.style.display = "none";}});span.onclick = function() {modal.style.display = "none";modal_open = false;}img.onclick = function(){modal.style.display = "block";modalImg.src = this.src;setTimeout(function(){ modal_open = true; }, 100);}if (navigator.userAgent.match(/Mobile/)) {document.getElementById('drag_upload_file').innerHTML = "

Click to choose

an image

";}

The word and object 'cipher' has a frequency score of 2.95 out of 7, which means that it is not a popular word, but is still used frequently in the english.

According to the english dictionary, some meanings of 'cipher' include:

  • a mathematical element that when added to another number yields the same number (noun)
  • a secret method of writing (noun)
  • convert ordinary language into code (verb)
  • a message written in a secret code (noun)
  • a quantity of no importance (noun)
  • a person of no influence (noun)
  • make a mathematical calculation or computation (verb)

Top 5 Uses of Image Recognition

Technology has undoubtedly become an essential part of our lives, and machine learning is acting as the protagonist behind all these latest tech advancements.

Visual recognition is one of the finest and most accessible applications of machine learning that has changed the way people perceive and operate in the world. It has grown to be so effective because it uses deep learning algorithms that are designed to resemble the way a human mind works. These algorithms make computers capable of recognizing different elements in an image.

Image recognition is offering exciting opportunities similar to the ones that we only used to see in science fiction movies and is running our imagination wild. Let’s have a look at some of the great uses of image recognition in different sectors:

5 Best Uses of Image Recognition

Automated Photo Organization

Example objects - Image Recognize (2) This photo organization system is the most popular application of image recognition that you experience almost daily – organizing your photos on the phone. If you pay attention to your mobile’s gallery, you’ll see a different library of photos based on your memories or visual topics, from personal issues to landscapes.

Besides just offering photo storage, all of the smartphones are going a step ahead by providing people better search and discovery features to organize their extensive database of photos. They have integrated image recognition APIs that identify patterns in pictures and group them accordingly.

Visual Search to Discover Products

Visual search has taken the e-commerce industry to the next level. Many online retailers have experienced increased sales and growth as they introduced the feature of visual product search for their customers.

For example, you are standing at a store, and some product catches your attention. You want to know all the details of this product. That’s where visual search shows its magic. It allows you to take an image of the product using the app of that store. You will then be directed to the online product page that contains all the necessary information about that product.

Face Recognition on Social Media

I hope you all are familiar with Facebook’s face recognition feature for tagging people in photos. This photo tagging is one of the most used application of image recognition.

Whenever you upload a photo, Facebook recognizes the objects and people being in there, before you even write a description. This feature is made possible because of computer vision that distinguishes different objects, food, facial expressions, and landscapes based on smart algorithms. Besides tagging, image recognition is also used for translating visual content to visually impaired users as well as identify inappropriate or abusive images.

Food Recognition Technology

You will see another even more exciting use of image recognition in the food industry. There’s a company called SRI that uses images of foods to provide nutritional information using computer vision. This technology offers two kinds of data: recognizing food and estimating the volume of food. The data is then utilized to process information about the food, portion size, as well as the nutritional value.

Behavior Monitoring in Classrooms

It is interesting to know that image recognition has made its way into classrooms as well. Some classes may use facial recognition to monitor the behavior of students. In this case, with the help of a facial recognition camera that scans the students in a classroom following a specified interval. The system records all the activities, including writing, reading, leaning on the desk, raising hands, movement of faces, and the emotions of the pupils.

Learn more:

  • Image Recognition Overview
  • What is Machine Learning?
  • Top 5 Uses of Image Recognition
  • Are Machines becoming Smarter than Humans?
  • Rising Popularity of Image Recognition
  • Image Recognition Trends
  • Prevent Crime and Improve Security with Facial Recognition
  • Image Recognition in Medical Use
  • Image Recognition Software on Cloud Platforms
  • Image Recognition is Transforming Business
  • Facial Recognition for Brand Awareness
  • Image Recognition on Facebook
  • Future of Image Recognition
Example objects - Image Recognize (2024)
Top Articles
Latest Posts
Article information

Author: Kieth Sipes

Last Updated:

Views: 6610

Rating: 4.7 / 5 (67 voted)

Reviews: 90% of readers found this page helpful

Author information

Name: Kieth Sipes

Birthday: 2001-04-14

Address: Suite 492 62479 Champlin Loop, South Catrice, MS 57271

Phone: +9663362133320

Job: District Sales Analyst

Hobby: Digital arts, Dance, Ghost hunting, Worldbuilding, Kayaking, Table tennis, 3D printing

Introduction: My name is Kieth Sipes, I am a zany, rich, courageous, powerful, faithful, jolly, excited person who loves writing and wants to share my knowledge and understanding with you.