Convert World Presidents2Text using CLIP Model

web app. #convert_images2text​ by using #CLIP_Model​ for #OpenAI​ Co. for 40 world #presidents​ images

by using #zero_shot_image​ classification….without using tradational images classification models .

.by using #GPT​-3 #NLP_Models​ with Images .and #CLIP​ Model convert images to text by using calculate the similarity

between arbitrary image and text inputs u can read about CLIP Model from here:

. https://openai.com/blog/clip/

and test about my web app. for 40 world presidents :

https://zero-shot.onrender.com/

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List of states (Algeria-United Arab Emirate-Singapore-Pakistan-India-Tunisia- Arabia Saudi-Lebanon-Iraq-USA-Germany-Egypt-North Korean- China-Sudan-France-Afghanistan-Albania-Angola-Austria-Bahrain Bangladesh-Brazil-Cuba-Greece-Iran-Italy-Jamaica-Mexico-Niger- Palestine-Russia-Spain-Sweden-Syria-Turkey-Vietnam-Zambia- Zimbabwe)

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#clip_model#computervision#openai#falahgs

Eyes Ocular Disease Recognition & Classification with PyTorch API Prediction for Normal vs Pathological Myopia

Eyes Ocular Disease Recognition & Classification with PyTorch API Prediction for Normal vs Pathological Myopia by Using ResNet50 Model

PyTorch API التنبؤ بقصر النظر المرضي مقابل العين السليمة باستخدام نموذج

ResNet50 الرابط


#deeplearning#machinelearning#objectdetection#computervision#falahgs#iraqi_programmer#TensorFlow#PyTorch#python#yolov4#yolov5#yolov3#keras_api#object_tracking#deepsort#brain_tumor#deep_learning_falahgs#deep_learning_projects

My email:digital_fgs@yahoo.com

Or falahgs07@gmail.com

My youtube:https://www.youtube.com/c/FalahgsGate

My github:https://github.com/falahgs

My PyPi: https://pypi.org/user/falahgs/

My hashtag:https://www.facebook.com/hashtag/falahgs

My Telgram channel: https://t.me/falahgs_dl_cv

My Articles in Medium site: hppts://falahgs.medium.com/

Web App.for Skin Cancer with Seven Categories Recognition and Classification with PyTorch API

web application for Skin Cancer with Seven Categories Recognition and Classification with PyTorch API : Melanocytic nevi,Melanoma,Benign keratosis,Basal cell carcinoma ,Actinic keratoses,Vascular lesions,Dermatofibroma by Using ResNet50 model…

press the link from here

https://skin-cancer2021.onrender.com/

تطبيق ويب لكشف مرض سرطان الجلد بأنواعه ( الاصناف ) السبعة ….بأستخدام تقنية الذكاء الاصطناعي – التعلم العمبق …الوحمات الصباغية ، الورم الميلانيني ، التقرن الحميد ، سرطان الخلايا القاعديةالتقران السفعي ، الآفات الوعائية ، الورم الليفي الجلد باستخدام نموذج ResNet50 #deeplearning#machinelearning#objectdetection#computervision#falahgs#iraqi_programmer#TensorFlow#PyTorch#python#yolov4#yolov5#yolov3#keras_api#object_tracking#deepsort#brain_tumor#deep_learning_falahgs#deep_learning_projects

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Falah.G.SaliehIraqi Programmer Developer

My blog :https://iraqprogrammer.wordpress.com

My email:digital_fgs@yahoo.com

Or falahgs07@gmail.com

My youtube:https://www.youtube.com/c/FalahgsGate

My github:https://github.com/falahgs

My PyPi: https://pypi.org/user/falahgs/

My hashtag:https://www.facebook.com/hashtag/falahgs

My Telgram channel: https://t.me/falahgs_dl_cv

The Object Detection Projects List

in AI Field by Iraqi Developer

Falah.G.Salieh from 2019 -2020 year

from here

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