diff --git a/examples/examples.json b/examples/examples.json
index 60c730a17..9f9be6c26 100644
--- a/examples/examples.json
+++ b/examples/examples.json
@@ -1 +1 @@
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ment_Interactive","url":"https://editor.p5js.org/ml5/sketches/Sentiment_Interactive"}],"javascript":[{"name":"Sentiment_Interactive","url":"../javascript/Sentiment/Sentiment_Interactive"}]},"SketchRNN":{"p5js":[{"name":"SketchRNN_basic","url":"../p5js/SketchRNN/SketchRNN_basic"},{"name":"SketchRNN_interactive","url":"../p5js/SketchRNN/SketchRNN_interactive"}],"p5webeditor":[{"name":"SketchRNN_basic","url":"https://editor.p5js.org/ml5/sketches/SketchRNN_basic"},{"name":"SketchRNN_interactive","url":"https://editor.p5js.org/ml5/sketches/SketchRNN_interactive"}],"javascript":[{"name":"SketchRNN_basic","url":"../javascript/SketchRNN/SketchRNN_basic"},{"name":"SketchRNN_interactive","url":"../javascript/SketchRNN/SketchRNN_interactive"}]},"SoundClassification":{"p5js":[{"name":"SoundClassification_speechcommand","url":"../p5js/SoundClassification/SoundClassification_speechcommand"},{"name":"SoundClassification_speechcommand_load","url":"../p5js/SoundClassification/SoundClassification_speechcommand_load"}],"p5webeditor":[{"name":"SoundClassification_speechcommand","url":"https://editor.p5js.org/ml5/sketches/SoundClassification_speechcommand"},{"name":"SoundClassification_speechcommand_load","url":"https://editor.p5js.org/ml5/sketches/SoundClassification_speechcommand_load"}],"javascript":[{"name":"SoundClassification_speechcommand","url":"../javascript/SoundClassification/SoundClassification_speechcommand"},{"name":"SoundClassification_speechcommand_load","url":"../javascript/SoundClassification/SoundClassification_speechcommand_load"}]},"StyleTransfer":{"p5js":[{"name":"StyleTransfer_Image","url":"../p5js/StyleTransfer/StyleTransfer_Image"},{"name":"StyleTransfer_Video","url":"../p5js/StyleTransfer/StyleTransfer_Video"}],"p5webeditor":[{"name":"StyleTransfer_Image","url":"https://editor.p5js.org/ml5/sketches/StyleTransfer_Image"},{"name":"StyleTransfer_Video","url":"https://editor.p5js.org/ml5/sketches/StyleTransfer_Video"}],"javascript":[{"name":"StyleTransfer_Image","url":"../javascript/StyleTransfer/StyleTransfer_Image"},{"name":"StyleTransfer_Video","url":"../javascript/StyleTransfer/StyleTransfer_Video"}]},"TeachableMachine":{"p5js":[{"name":"ImageModel_TM","url":"../p5js/TeachableMachine/ImageModel_TM"},{"name":"SoundModel_TM","url":"../p5js/TeachableMachine/SoundModel_TM"}],"p5webeditor":[{"name":"ImageModel_TM","url":"https://editor.p5js.org/ml5/sketches/ImageModel_TM"},{"name":"SoundModel_TM","url":"https://editor.p5js.org/ml5/sketches/SoundModel_TM"}]},"UNET":{"p5js":[{"name":"UNET_webcam","url":"../p5js/UNET/UNET_webcam"}],"p5webeditor":[{"name":"UNET_webcam","url":"https://editor.p5js.org/ml5/sketches/UNET_webcam"}],"javascript":[{"name":"UNET_webcam","url":"../javascript/UNET/UNET_webcam"}]},"UniversalSentenceEncoder":{"p5js":[{"name":"UniversalSentenceEncoder_Basic","url":"../p5js/UniversalSentenceEncoder/UniversalSentenceEncoder_Basic"},{"name":"UniversalSentenceEncoder_WithTokenizer","url":"../p5js/UniversalSentenceEncoder/UniversalSentenceEncoder_WithTokenizer"}],"p5webeditor":[{"name":"UniversalSentenceEncoder_Basic","url":"https://editor.p5js.org/ml5/sketches/UniversalSentenceEncoder_Basic"},{"name":"UniversalSentenceEncoder_WithTokenizer","url":"https://editor.p5js.org/ml5/sketches/UniversalSentenceEncoder_WithTokenizer"}]}}
\ No newline at end of file
diff --git a/examples/javascript/ObjectDetector/COCOSSD_single_image/sketch.js b/examples/javascript/ObjectDetector/COCOSSD_single_image/sketch.js
index 10ff80a8b..0a8214f9d 100644
--- a/examples/javascript/ObjectDetector/COCOSSD_single_image/sketch.js
+++ b/examples/javascript/ObjectDetector/COCOSSD_single_image/sketch.js
@@ -5,13 +5,14 @@
/* ===
ml5 Example
-Real time Object Detection using objectDetector
+Real time Object Detection using COCOSSD
=== */
let objectDetector;
-let status;
let objects = [];
-let canvas, ctx;
+let img;
+let canvas;
+let ctx;
const width = 640;
const height = 420;
@@ -78,4 +79,4 @@ function createCanvas(w, h) {
canvas.height = h;
document.body.appendChild(canvas);
return canvas;
-}
\ No newline at end of file
+}
diff --git a/examples/javascript/ObjectDetector/COCOSSD_webcam/sketch.js b/examples/javascript/ObjectDetector/COCOSSD_webcam/sketch.js
index ef8996be7..2bb4025c1 100644
--- a/examples/javascript/ObjectDetector/COCOSSD_webcam/sketch.js
+++ b/examples/javascript/ObjectDetector/COCOSSD_webcam/sketch.js
@@ -5,14 +5,14 @@
/* ===
ml5 Example
-Real time Object Detection using objectDetector
+Real time Object Detection using COCOSSD
=== */
let objectDetector;
-let status;
let objects = [];
let video;
-let canvas, ctx;
+let canvas;
+let ctx;
const width = 480;
const height = 360;
@@ -95,4 +95,4 @@ function createCanvas(w, h){
canvas.height = h;
document.body.appendChild(canvas);
return canvas;
-}
\ No newline at end of file
+}
diff --git a/examples/javascript/ObjectDetector/YOLO_single_image/sketch.js b/examples/javascript/ObjectDetector/YOLO_single_image/sketch.js
index 08d6b1ec7..116dcd3d1 100644
--- a/examples/javascript/ObjectDetector/YOLO_single_image/sketch.js
+++ b/examples/javascript/ObjectDetector/YOLO_single_image/sketch.js
@@ -5,13 +5,14 @@
/* ===
ml5 Example
-Real time Object Detection using objectDetector
+Real time Object Detection using YOLO
=== */
let objectDetector;
-let status;
+let img;
let objects = [];
-let canvas, ctx;
+let canvas;
+let ctx;
const width = 640;
const height = 420;
@@ -78,4 +79,4 @@ function createCanvas(w, h){
canvas.height = h;
document.body.appendChild(canvas);
return canvas;
-}
\ No newline at end of file
+}
diff --git a/examples/javascript/ObjectDetector/YOLO_webcam/sketch.js b/examples/javascript/ObjectDetector/YOLO_webcam/sketch.js
index 1a9de5235..00f93e2ef 100644
--- a/examples/javascript/ObjectDetector/YOLO_webcam/sketch.js
+++ b/examples/javascript/ObjectDetector/YOLO_webcam/sketch.js
@@ -5,14 +5,14 @@
/* ===
ml5 Example
-Real time Object Detection using objectDetector
+Real time Object Detection using YOLO
=== */
let objectDetector;
-let status;
let objects = [];
let video;
-let canvas, ctx;
+let canvas;
+let ctx;
const width = 480;
const height = 360;
@@ -93,4 +93,4 @@ function createCanvas(w, h){
canvas.height = h;
document.body.appendChild(canvas);
return canvas;
-}
\ No newline at end of file
+}
diff --git a/examples/javascript/YOLO/YOLO_single_image/index.html b/examples/javascript/YOLO/YOLO_single_image/index.html
deleted file mode 100644
index 0de570359..000000000
--- a/examples/javascript/YOLO/YOLO_single_image/index.html
+++ /dev/null
@@ -1,16 +0,0 @@
-
-
-
-
-
-
- YOLO with image
-
-
-
-
-
- YOLO image detection on single image
-
-
-
\ No newline at end of file
diff --git a/examples/javascript/YOLO/YOLO_single_image/sketch.js b/examples/javascript/YOLO/YOLO_single_image/sketch.js
deleted file mode 100644
index 87ec81eff..000000000
--- a/examples/javascript/YOLO/YOLO_single_image/sketch.js
+++ /dev/null
@@ -1,81 +0,0 @@
-// Copyright (c) 2019 ml5
-//
-// This software is released under the MIT License.
-// https://opensource.org/licenses/MIT
-
-/* ===
-ml5 Example
-Real time Object Detection using YOLO
-=== */
-
-let yolo;
-let status;
-let objects = [];
-let canvas, ctx;
-const width = 640;
-const height = 420;
-
-async function make() {
- img = new Image();
- img.src = 'images/cat2.JPG';
- img.width = width;
- img.height = height;
-
- yolo = await ml5.YOLO(startDetecting)
-
- canvas = createCanvas(width, height);
- ctx = canvas.getContext('2d');
-}
-
-// when the dom is loaded, call make();
-window.addEventListener('DOMContentLoaded', function() {
- make();
-});
-
-function startDetecting(){
- console.log('model ready')
- detect();
-}
-
-function detect() {
- yolo.detect(img, function(err, results) {
- if(err){
- console.log(err);
- return
- }
- objects = results;
-
- if(objects){
- draw();
- }
- });
-}
-
-function draw(){
- // Clear part of the canvas
- ctx.fillStyle = "#000000"
- ctx.fillRect(0,0, width, height);
-
- ctx.drawImage(img, 0, 0);
- for (let i = 0; i < objects.length; i += 1) {
-
- ctx.font = "16px Arial";
- ctx.fillStyle = "green";
- ctx.fillText(objects[i].label, objects[i].x + 4, objects[i].y + 16);
-
- ctx.beginPath();
- ctx.rect(objects[i].x, objects[i].y, objects[i].width, objects[i].height);
- ctx.strokeStyle = "green";
- ctx.stroke();
- ctx.closePath();
- }
-}
-
-
-function createCanvas(w, h){
- const canvas = document.createElement("canvas");
- canvas.width = w;
- canvas.height = h;
- document.body.appendChild(canvas);
- return canvas;
-}
\ No newline at end of file
diff --git a/examples/javascript/YOLO/YOLO_webcam/index.html b/examples/javascript/YOLO/YOLO_webcam/index.html
deleted file mode 100644
index 376995c35..000000000
--- a/examples/javascript/YOLO/YOLO_webcam/index.html
+++ /dev/null
@@ -1,15 +0,0 @@
-
-
-
-
- Real time Object Detection using YOLO
-
-
-
-
-
-
- Real time Object Detection using YOLO
-
-
-
\ No newline at end of file
diff --git a/examples/javascript/YOLO/YOLO_webcam/sketch.js b/examples/javascript/YOLO/YOLO_webcam/sketch.js
deleted file mode 100644
index 9cfc80ef0..000000000
--- a/examples/javascript/YOLO/YOLO_webcam/sketch.js
+++ /dev/null
@@ -1,97 +0,0 @@
-// Copyright (c) 2019 ml5
-//
-// This software is released under the MIT License.
-// https://opensource.org/licenses/MIT
-
-/* ===
-ml5 Example
-Real time Object Detection using YOLO
-=== */
-
-let yolo;
-let status;
-let objects = [];
-let video;
-let canvas, ctx;
-const width = 480;
-const height = 360;
-
-async function make() {
- // get the video
- video = await getVideo();
- yolo = await ml5.YOLO(video, startDetecting)
- canvas = createCanvas(width, height);
- ctx = canvas.getContext('2d');
-}
-
-// when the dom is loaded, call make();
-window.addEventListener('DOMContentLoaded', function() {
- make();
-});
-
-function startDetecting(){
- console.log('model ready')
- detect();
-}
-
-function detect() {
- yolo.detect(function(err, results) {
- if(err){
- console.log(err);
- return
- }
- objects = results;
-
- if(objects){
- draw();
- }
-
- detect();
- });
-}
-
-function draw(){
- // Clear part of the canvas
- ctx.fillStyle = "#000000"
- ctx.fillRect(0,0, width, height);
-
- ctx.drawImage(video, 0, 0);
- console.log('objects', objects);
- for (let i = 0; i < objects.length; i += 1) {
-
- ctx.font = "16px Arial";
- ctx.fillStyle = "green";
- ctx.fillText(objects[i].label, objects[i].x + 4, objects[i].y + 16);
-
- ctx.beginPath();
- ctx.rect(objects[i].x, objects[i].y, objects[i].width, objects[i].height);
- ctx.strokeStyle = "green";
- ctx.stroke();
- ctx.closePath();
- }
-}
-
-// Helper Functions
-async function getVideo(){
- // Grab elements, create settings, etc.
- const videoElement = document.createElement('video');
- videoElement.setAttribute("style", "display: none;");
- videoElement.width = width;
- videoElement.height = height;
- document.body.appendChild(videoElement);
-
- // Create a webcam capture
- const capture = await navigator.mediaDevices.getUserMedia({ video: true })
- videoElement.srcObject = capture;
- videoElement.play();
-
- return videoElement
-}
-
-function createCanvas(w, h){
- const canvas = document.createElement("canvas");
- canvas.width = w;
- canvas.height = h;
- document.body.appendChild(canvas);
- return canvas;
-}
\ No newline at end of file
diff --git a/examples/javascript/YOLO/YOLO_single_image/images/cat.JPG b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/images/cat.JPG
similarity index 100%
rename from examples/javascript/YOLO/YOLO_single_image/images/cat.JPG
rename to examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/images/cat.JPG
diff --git a/examples/javascript/YOLO/YOLO_single_image/images/cat2.JPG b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/images/cat2.JPG
similarity index 100%
rename from examples/javascript/YOLO/YOLO_single_image/images/cat2.JPG
rename to examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/images/cat2.JPG
diff --git a/examples/javascript/YOLO/YOLO_single_image/images/turtle.png b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/images/turtle.png
similarity index 100%
rename from examples/javascript/YOLO/YOLO_single_image/images/turtle.png
rename to examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/images/turtle.png
diff --git a/examples/p5js/YOLO/YOLO_single_image/index.html b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/index.html
similarity index 100%
rename from examples/p5js/YOLO/YOLO_single_image/index.html
rename to examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/index.html
diff --git a/examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/sketch.js b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/sketch.js
new file mode 100644
index 000000000..3e616d9d6
--- /dev/null
+++ b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_single_image/sketch.js
@@ -0,0 +1,65 @@
+/* ===
+ml5 Example
+Object Detection using YOLO
+=== */
+
+let objects = [];
+let objectDetector;
+let img;
+
+// Load the image before the main program starts.
+function preload() {
+ img = loadImage("images/cat2.JPG");
+}
+
+function setup() {
+ // Create a canvas that's the size of the image.
+ createCanvas(img.width, img.height);
+ // Draw the image to the canvas.
+ image(img, 0, 0);
+ // Create the model and call modelReady() when it is loaded.
+ // Models available are 'cocossd', 'yolo'.
+ objectDetector = ml5.objectDetector("yolo", modelReady);
+}
+
+// When the model is ready, do the detection.
+function modelReady() {
+ console.log("Model ready!");
+ objectDetector.detect(img, gotResult);
+}
+
+// A function to run when we get any errors and the results
+function gotResult(err, results) {
+ if (err) {
+ console.log(err);
+ return;
+ }
+ console.log(results);
+ // Assign the results to the global `objects` variable to be used in draw().
+ objects = results;
+}
+
+function draw() {
+ // Check that we have results.
+ if (objects.length > 0) {
+ for (let i = 0; i < objects.length; i += 1) {
+ noStroke();
+ fill(0, 255, 0);
+ text(
+ `${objects[i].label} ${nfc(objects[i].confidence * 100.0, 2)}%`,
+ objects[i].x + 5,
+ objects[i].y + 15,
+ );
+ noFill();
+ strokeWeight(4);
+ stroke(0, 255, 0);
+ rect(
+ objects[i].x,
+ objects[i].y,
+ objects[i].width,
+ objects[i].height,
+ );
+ }
+ noLoop(); // Stops the p5 loop so that draw() won't be called again.
+ }
+}
diff --git a/examples/p5js/YOLO/YOLO_webcam/index.html b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_webcam/index.html
similarity index 100%
rename from examples/p5js/YOLO/YOLO_webcam/index.html
rename to examples/p5js/ObjectDetector/ObjectDetector_YOLO_webcam/index.html
diff --git a/examples/p5js/YOLO/YOLO_webcam/sketch.js b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_webcam/sketch.js
similarity index 89%
rename from examples/p5js/YOLO/YOLO_webcam/sketch.js
rename to examples/p5js/ObjectDetector/ObjectDetector_YOLO_webcam/sketch.js
index 79c1b7a53..821ca61ac 100644
--- a/examples/p5js/YOLO/YOLO_webcam/sketch.js
+++ b/examples/p5js/ObjectDetector/ObjectDetector_YOLO_webcam/sketch.js
@@ -18,8 +18,8 @@ function setup() {
video = createCapture(VIDEO);
video.size(320, 240);
- // Create a YOLO method
- yolo = ml5.YOLO(video, startDetecting);
+ // Create an ObjectDetector using YOLO as the model
+ yolo = ml5.objectDetector('yolo', video, startDetecting);
// Hide the original video
video.hide();
diff --git a/examples/p5js/YOLO/YOLO_single_image/images/cat.JPG b/examples/p5js/YOLO/YOLO_single_image/images/cat.JPG
deleted file mode 100644
index acfa31630..000000000
Binary files a/examples/p5js/YOLO/YOLO_single_image/images/cat.JPG and /dev/null differ
diff --git a/examples/p5js/YOLO/YOLO_single_image/images/cat2.JPG b/examples/p5js/YOLO/YOLO_single_image/images/cat2.JPG
deleted file mode 100644
index 1b04862a2..000000000
Binary files a/examples/p5js/YOLO/YOLO_single_image/images/cat2.JPG and /dev/null differ
diff --git a/examples/p5js/YOLO/YOLO_single_image/images/turtle.png b/examples/p5js/YOLO/YOLO_single_image/images/turtle.png
deleted file mode 100644
index 0299d0956..000000000
Binary files a/examples/p5js/YOLO/YOLO_single_image/images/turtle.png and /dev/null differ
diff --git a/examples/p5js/YOLO/YOLO_single_image/sketch.js b/examples/p5js/YOLO/YOLO_single_image/sketch.js
deleted file mode 100644
index c273878eb..000000000
--- a/examples/p5js/YOLO/YOLO_single_image/sketch.js
+++ /dev/null
@@ -1,61 +0,0 @@
-// Initialize the Image Classifier method with MobileNet. A callback needs to be passed.
-// Create a YOLO method
-const yolo = ml5.YOLO(modelReady);
-let img;
-let objects = [];
-let status;
-
-function setup() {
- createCanvas(640, 420);
- img = createImg("images/cat2.JPG", imageReady);
- img.hide();
- img.size(640, 420);
-}
-
-// Change the status when the model loads.
-function modelReady() {
- console.log("model Ready!");
- status = true;
-}
-
-// When the image has been loaded,
-// get a prediction for that image
-function imageReady() {
- console.log("Detecting");
- yolo.detect(img, gotResult);
-}
-
-// A function to run when we get any errors and the results
-function gotResult(err, results) {
- if (err) {
- console.log(err);
- }
- console.log(results);
- objects = results;
-}
-
-function draw() {
- // unless the model is loaded, do not draw anything to canvas
- if (status !== undefined) {
- image(img, 0, 0);
-
- for (let i = 0; i < objects.length; i += 1) {
- noStroke();
- fill(0, 255, 0);
- text(
- `${objects[i].label} ${nfc(objects[i].confidence * 100.0, 2)}%`,
- objects[i].x + 5,
- objects[i].y + 15,
- );
- noFill();
- strokeWeight(4);
- stroke(0, 255, 0);
- rect(
- objects[i].x,
- objects[i].y,
- objects[i].width,
- objects[i].height,
- );
- }
- }
-}