GitHub topics: cifar-10-classifier
Stephen5421/Image-Classification-using-ANN-CNN
The code does image classification using the CIFAR-10 dataset. Two models, ANN and CNN, are trained on 32x32 color images across 10 classes. Following data preprocessing, the models are constructed and trained. Their classification performance is assessed on test images, highlighting their effectiveness in identifying objects within the dataset.
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iobruno/fastapi-tfserve
Tensorflow-based Object Detection on the CIFAR-10 dataset, served with FastAPI
Language: Python - Size: 12.2 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
Hunterdii/DigiPic-Classifier
DigiPic-Classifier is a powerful image classification app built with Streamlit. It features two models: CIFAR-10 Object Recognition to classify objects like airplanes, cars, animals, and more, and MNIST Digit Classification for recognizing handwritten digits. With a sleek interface and real-time predictions, DigiPic-Classifier offers a seamless
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SreeEswaran/Image-classification-using-CNN
This project demonstrates image classification using a Convolutional Neural Network (CNN) on the CIFAR-10 dataset. The model is trained to classify images into one of 10 classes.
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Moddy2024/ResNet-9
Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
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celine-hsieh/Computer-Vision-and-Deep-Learning--VGG16
Camera Calibration / Augmented Reality/ Stereo Disparity Map/ SIFT/ Training Cifar-10 Classifier Using VGG16
Language: Python - Size: 211 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
