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Title: GitHub - indoos/ImageAI: A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities Β· GitHub

Open Graph Title: GitHub - indoos/ImageAI: A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

X Title: GitHub - indoos/ImageAI: A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Description: A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities - indoos/ImageAI

Open Graph Description: A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities - indoos/ImageAI

X Description: A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities - indoos/ImageAI

Mail addresses
guymodscientist@gmail.com
johnolafenwa@gmail.com

Opengraph URL: https://github.com/indoos/ImageAI

X: @github

direct link

Domain: github.com

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theiaengine.pnghttps://github.com/indoos/ImageAI/blob/master/theiaengine.png
READMEhttps://github.com/indoos/ImageAI
Licensehttps://github.com/indoos/ImageAI
https://github.com/indoos/ImageAI#imageai-v303
https://travis-ci.com/OlafenwaMoses/ImageAI
https://github.com/OlafenwaMoses/ImageAI/blob/master/LICENSE
https://badge.fury.io/py/imageai
https://pepy.tech/project/imageai
https://pepy.tech/project/imageai
Github sponsor pagehttps://github.com/sponsors/OlafenwaMoses
https://github.com/indoos/ImageAI#---------------------------------------------------
https://github.com/indoos/ImageAI#introducing-jarvis-and-theiaengine
https://jarvis.genxr.co
https://jarvis.genxr.cohttps://jarvis.genxr.co/
https://www.genxr.co/theia-engine
TheiaEnginehttps://www.genxr.co/theia-engine
https://www.genxr.co/theia-enginehttps://www.genxr.co/theia-engine
https://github.com/indoos/ImageAI#----------------------------------------------------1
https://github.com/indoos/ImageAI/blob/master/logo1.png
Moses Olafenwahttps://twitter.com/OlafenwaMoses
https://github.com/indoos/ImageAI#table-of-contents
πŸ”³ Installationhttps://github.com/indoos/ImageAI#installation
πŸ”³ Featureshttps://github.com/indoos/ImageAI#features
πŸ”³ Documentationhttps://github.com/indoos/ImageAI#documentation
πŸ”³ Sponsorshttps://github.com/indoos/ImageAI#sponsors
πŸ”³ Projects Built on ImageAIhttps://github.com/indoos/ImageAI#sample
πŸ”³ High Performance Implementationhttps://github.com/indoos/ImageAI#real-time-and-high-performance-implementation
πŸ”³ AI Practice Recommendationshttps://github.com/indoos/ImageAI#recommendation
πŸ”³ Contact Developershttps://github.com/indoos/ImageAI#contact
πŸ”³ Citationhttps://github.com/indoos/ImageAI#citation
πŸ”³ Referenceshttps://github.com/indoos/ImageAI#ref
https://github.com/indoos/ImageAI#installation
Download and Installhttps://www.python.org/downloads/
requirements.txthttps://github.com/OlafenwaMoses/ImageAI/blob/master/requirements.txt
requirements_gpu.txthttps://github.com/OlafenwaMoses/ImageAI/blob/master/requirements_gpu.txt
requirements_extra.txthttps://github.com/OlafenwaMoses/ImageAI/blob/master/requirements_extra.txt
https://github.com/indoos/ImageAI#features
https://github.com/indoos/ImageAI#-image-classification
https://github.com/indoos/ImageAI/blob/master/data-images/1.jpg
https://github.com/indoos/ImageAI#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-mobilenetv2-resnet50-inceptionv3-and-densenet121----click-the-link-below-to-see-the-full-sample-codes-explanations-and-best-practices-guide
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Classification
https://github.com/indoos/ImageAI#-object-detection-
https://github.com/indoos/ImageAI/blob/master/data-images/image2new.jpg
https://github.com/indoos/ImageAI#imageai-provides-very-convenient-and-powerful-methods-to-perform-object-detection-on-images-and-extract-each-object-from-the-image-the-object-detection-class-provides-support-for-retinanet-yolov3-and-tinyyolov3-with-options-to-adjust-for-state-of-the-art-performance-or-real-time-processing-click-the-link-below-to-see-the-full-sample-codes-explanations-and-best-practices-guide
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Detection
https://github.com/indoos/ImageAI#-video-object-detection--analysis
https://github.com/indoos/ImageAI/blob/master/data-images/video_analysis_visualization.jpg
https://github.com/indoos/ImageAI#imageai-provides-very-convenient-and-powerful-methods-to-perform-object-detection-in-videos-the-video-object-detection-class-provided-only-supports-the-current-state-of-the-art-retinanet-click-the-link-to-see-the-full-videos-sample-codes-explanations-and-best-practices-guide
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Detection/VIDEO.md
https://github.com/indoos/ImageAI#-custom-classification-model-training-
https://github.com/indoos/ImageAI/blob/master/data-images/idenprof.jpg
https://github.com/indoos/ImageAI#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-mobilenetv2-resnet50-inceptionv3-and-densenet-in-5-lines-of-code-click-the-link-below-to-see-the-guide-to-preparing-training-images-sample-training-codes-explanations-and-best-practices
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Classification/CUSTOMTRAINING.md
https://github.com/indoos/ImageAI#-custom-model-classification
https://github.com/indoos/ImageAI/blob/master/data-images/4.jpg
https://github.com/indoos/ImageAI#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-your-custom-models-trained-with-mobilenetv2-resnet50-inceptionv3-and-densenet-and-the-json-file-containing-the-mapping-of-the-custom-object-names-click-the-link-below-to-see-the-guide-to-sample-training-codes-explanations-and-best-practices-guide
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Classification/CUSTOMCLASSIFICATION.md
https://github.com/indoos/ImageAI#-custom-detection-model-training-
https://github.com/indoos/ImageAI/blob/master/data-images/headsets.jpg
https://github.com/indoos/ImageAI#imageai-provides-classes-and-methods-for-you-to-train-new-yolov3-or-tinyyolov3-object-detection-models-on-your-custom-dataset-this-means-you-can-train-a-model-to-detect-literally-any-object-of-interest-by-providing-the-images-the-annotations-and-training-with-imageai-click-the-link-below-to-see-the-guide-to-sample-training-codes-explanations-and-best-practices-guide
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Detection/Custom/CUSTOMDETECTIONTRAINING.md
https://github.com/indoos/ImageAI#-custom-object-detection
https://github.com/indoos/ImageAI/blob/master/data-images/holo2-detected.jpg
https://github.com/indoos/ImageAI#imageai-now-provides-classes-and-methods-for-you-detect-and-recognize-your-own-custom-objects-in-images-using-your-own-model-trained-with-the-detectionmodeltrainer-class-you-can-use-your-custom-trained-yolov3-or-tinyyolov3-model-and-the-json-file-generated-during-the-training-click-the-link-below-to-see-the-guide-to-sample-training-codes-explanations-and-best-practices-guide
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Detection/Custom/CUSTOMDETECTION.md
https://github.com/indoos/ImageAI#-custom-video-object-detection--analysis-
https://github.com/indoos/ImageAI/blob/master/data-images/customvideodetection.gif
https://github.com/indoos/ImageAI#imageai-now-provides-classes-and-methods-for-you-detect-and-recognize-your-own-custom-objects-in-images-using-your-own-model-trained-with-the-detectionmodeltrainer-class-you-can-use-your-custom-trained-yolov3-or-tinyyolov3-model-and-the-json-file-generated-during-the-training-click-the-link-below-to-see-the-guide-to-sample-training-codes-explanations-and-best-practices-guide-1
>>> Get Startedhttps://github.com/indoos/ImageAI/blob/master/imageai/Detection/Custom/CUSTOMVIDEODETECTION.md
https://github.com/indoos/ImageAI#documentation
https://imageai.readthedocs.iohttps://imageai.readthedocs.io
https://github.com/indoos/ImageAI#sponsors
https://github.com/indoos/ImageAI#real-time-and-high-performance-implementation
https://github.com/indoos/ImageAI#projects-built-on-imageai
https://github.com/indoos/ImageAI#ai-practice-recommendations
https://blogs.microsoft.com/blog/2018/01/17/future-computed-artificial-intelligence-role-societyhttps://blogs.microsoft.com/blog/2018/01/17/future-computed-artificial-intelligence-role-society/
https://github.com/indoos/ImageAI#contact-developer
@OlafenwaMoseshttps://twitter.com/OlafenwaMoses
@guymodscientisthttps://medium.com/@guymodscientist
moses.olafenwahttps://facebook.com/moses.olafenwa
https://john.aicommons.sciencehttps://john.aicommons.science
@johnolafenwahttps://twitter.com/johnolafenwa
@johnolafenwahttps://medium.com/@johnolafenwa
olafenwajohnhttps://facebook.com/olafenwajohn
https://github.com/indoos/ImageAI#citation
https://github.com/indoos/ImageAI#references
https://github.com/titu1994/DenseNethttps://github.com/titu1994/DenseNet
https://github.com/broadinstitute/keras-resnethttps://github.com/broadinstitute/keras-resnet
https://github.com/fizyr/keras-retinanethttps://github.com/fizyr/keras-retinanet
https://github.com/fchollet/deep-learning-modelshttps://github.com/fchollet/deep-learning-models
https://arxiv.org/abs/1602.07360https://arxiv.org/abs/1602.07360
https://arxiv.org/abs/1512.03385https://arxiv.org/abs/1512.03385
https://arxiv.org/abs/1512.00567https://arxiv.org/abs/1512.00567
https://arxiv.org/abs/1608.06993https://arxiv.org/abs/1608.06993
https://arxiv.org/abs/1708.02002https://arxiv.org/abs/1708.02002
https://arxiv.org/abs/1409.0575https://arxiv.org/abs/1409.0575
https://arxiv.org/abs/1405.0312https://arxiv.org/abs/1405.0312
https://github.com/OlafenwaMoses/IdenProfhttps://github.com/OlafenwaMoses/IdenProf
https://arxiv.org/abs/1804.02767https://arxiv.org/abs/1804.02767
https://github.com/experiencor/keras-yolo3https://github.com/experiencor/keras-yolo3
https://arxiv.org/abs/1801.04381https://arxiv.org/abs/1801.04381
https://github.com/ultralytics/yolov3https://github.com/ultralytics/yolov3
www.genxr.co/#productshttps://www.genxr.co/#products
Readme https://github.com/indoos/ImageAI#readme-ov-file
MIT license https://github.com/indoos/ImageAI#MIT-1-ov-file
Please reload this pagehttps://github.com/indoos/ImageAI
Activityhttps://github.com/indoos/ImageAI/activity
0 forkshttps://github.com/indoos/ImageAI/forks
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Please reload this pagehttps://github.com/indoos/ImageAI
Contributorshttps://github.com/indoos/ImageAI/graphs/contributors
Please reload this pagehttps://github.com/indoos/ImageAI
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Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.