From 370708de313d8c66d0f1de6adac2d1ce66ca0da3 Mon Sep 17 00:00:00 2001 From: MOSES OLAFENWA Date: Fri, 22 Jun 2018 01:30:51 +0100 Subject: [PATCH] Update README.md --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 164fc52c..9eba4234 100644 --- a/README.md +++ b/README.md @@ -79,7 +79,7 @@ with 'flash' detection accuracy balanced with 'minimum_percentage_probability' w

Image Prediction

ImageAI provides 4 different algorithms and model types to perform image prediction, trained on the ImageNet-1000 dataset. The 4 algorithms provided for image prediction include SqueezeNet, ResNet, InceptionV3 and DenseNet. -You will find below the result of an example prediction using the ResNet50 model, and the 'Full Details & Documentation' link. +You will find below the result of an example prediction using the ResNet50 model, and the 'Full Details & Documentation' link below the image. Click the link to see the full sample codes, explainations, best practices guide and documentation. 

convertible : 52.459555864334106
@@ -101,7 +101,7 @@ minivan : 1.7487050965428352
ImageAI provides very convenient and powerful methods to perform object detection on images and extract each object from the image. The object detection class provided only supports the current state-of-the-art RetinaNet, but with options to adjust for state of the art performance or real time processing. -You will find below the result of an example object detection using the RetinaNet model, and the 'Full Details & Documentation' link. +You will find below the result of an example object detection using the RetinaNet model, and the 'Full Details & Documentation' link below the images. Click the link to see the full sample codes, explainations, best practices guide and documentation.

Input Image


@@ -143,7 +143,7 @@ person : 87.10319399833679 ImageAI provides very convenient and powerful methods to perform object detection in videos and track specific object(s). The video object detection class provided only supports the current state-of-the-art RetinaNet, but with options to adjust for state of the art performance or real time processing. -You will find below the result of an example object detection using the RetinaNet model, and the 'Full Details & Documentation' link. +You will find below the result of an example object detection using the RetinaNet model, and the 'Full Details & Documentation' link below the images. Click the link to see the full videos, sample codes, explainations, best practices guide and documentation.

Video Object Detection

@@ -167,7 +167,7 @@ Click the link to see the full videos, sample codes, explainations, best practic

Custom Model Training

ImageAI provides classes and methods for you to train a new model that can be used to perform prediction on your own custom objects. You can train your custom models using SqueezeNet, ResNet50, InceptionV3 and DenseNet in less than 12 lines of code. -You will find below the 'Full Details & Documentation' link. +You will find below the 'Full Details & Documentation' link below the image. Click the link to see the guide to preparing training images, sample training codes, explainations, best practices guide and documentation.


@@ -190,7 +190,7 @@ Click the link to see the guide to preparing training images, sample training co

Custom Image Prediction

ImageAI provides classes and methods for you to run image prediction your own custom objects using your own model trained with ImageAI Model Training class. You can use custom models trained with SqueezeNet, ResNet50, InceptionV3 and DenseNet and the JSON file containing the mapping of the custom object names. -You will find below the 'Full Details & Documentation' link. +You will find below the 'Full Details & Documentation' link below the image. Click the link to see the guide to sample training codes, explainations, best practices guide and documentation.