Topic: efficientnetb0 Goto Github
Some thing interesting about efficientnetb0
Some thing interesting about efficientnetb0
efficientnetb0,TFlite+CNN
User: aku02
Home Page: https://www.amazon.com/dp/B099T6CYX6/ref=apps_sf_sta
efficientnetb0,Efficient way to detect if a face has a mask on. Used EfficientNet-B0 model architecture.
User: anhphan2705
efficientnetb0,Image Captioning using EfficientNet and GRU
User: dev-khant
efficientnetb0,The model employs mixed-precision training within the TensorFlow framework, utilizing transfer learning techniques that encompass both feature extraction and fine-tuning stages. This approach is executed on the EfficientNetB0 architecture
User: etienne-bobo
efficientnetb0,Clasificación de imágenes y reconocimiento de objetos mediante la red neuronal convolucional CNN DenseNet y EfficientNet con el modelo frozen model y el framework Coffe. Posteriomente, mediante la red neuronal convolucional CNN MobileNet-SSD y YOLO con el framework TensorFlow
User: ginamartinezl
efficientnetb0,This is my capstone project that was completed as part of the General Assembly Data Science Immersive curriculum. I conceptualized the idea, executed the project and developed a prototype for predicting success in the South Korean drama industry based on face image. This serves as a proof-of-concept which can definitely be developed further.
User: gituser8888
efficientnetb0,The purpose of Food Vision project is to classify 101 variety of food items using Machine Learning.
User: harshd23
efficientnetb0,I'm developing an app named BarkRescue, which includes project code, app functionalities, and system architecture. Additionally, I've written three detailed blogs on EfficientNet, YOLOv5, and MobileNet-v2, focusing on their architecture and workings before integrating these models into my project.
User: harshdeepkalita
efficientnetb0,49.5 mAP50 Detector enet4y2-coco.cfg = EfficientnetB0 + 4YOLO Layers + BiDirectionalFeatureMap with COCO Dataset and 81.0 mAP50 with VOC2007 test Dataset.
User: k5iogura
efficientnetb0,INR Denomination Recognition is an image classification project
User: kailash-natarajan
efficientnetb0,This is a project documentation about melanoma detection methods using convolutional neural networks.
User: koltaib
efficientnetb0,Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.
User: kzaleskaa
efficientnetb0,American Sign Language Alphabet Detection in Real Time with EfficientNetB0 in PyTorch
User: luluw8071
efficientnetb0,A project on building deep learning classifier to classify playing cards
Organization: meng-ucalgary
efficientnetb0,A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.
User: msikorski93
efficientnetb0,Mask Monitoring System
User: psychoatom
Home Page: https://effnetmaskchk.herokuapp.com/
efficientnetb0,Implementation of a neural network for solving the problem of mushroom classification based on the TensorFlow library and the pre-trained efficientnet/b0 model.
User: ruddanil
efficientnetb0,Dust detection on solar photovoltaics panel using pre-trained CNN models
User: safwanshamsir99
efficientnetb0,🔪 Elimination based Lightweight Neural Net with Pretrained Weights
User: snoop2head
Home Page: https://wandb.ai/elimnet/ElimNet
efficientnetb0,An implementation of the Arabic sign language classification using Keras on the zArASL_Database_54K dataset
User: tariqshaban
efficientnetb0,HAM10000 Skin Lesion Classification
User: tmfreiberg
efficientnetb0,Development and analysis of various deep NN models to detect glaucoma cases from fundus images. The performance of the best model was evaluated with cross-validation. Mean F1-score: 0.95975, with a standard deviation of 0.02274.
User: venn1998
efficientnetb0,QAT(quantize aware training) for classification with MQBench
User: zlkanyo009
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