fishing-classifier-cnn/runs/1491083735/prediction.csv at master · Rj7/-fishing-classifier-cnn · GitHub
GitHub - LukaszMalucha/Image-Classification: Flask Blueprint & RESTful application with various image classification models.
GitHub - saibattula93/Image-Classification: Developed an image classification web app using CNN to differentiate cats and dogs. Achieved high accuracy, precision, recall, and F1 score. Pipeline involves data preprocessing, model training, Docker deployment
![](https://miro.medium.com/v2/resize:fit:1380/1*cKwK3jyc2GvaHqjk1q0-Wg.png)
Exploring Feature Extraction with CNNs, by Rodrigo Silva
Fish-Weight-Prediction-Beginners/Fish_Weight_Prediction_(Regression_Analysis_for_beginners) _ Part 1.ipynb at main · gurokeretcha/Fish-Weight-Prediction-Beginners · GitHub
GitHub - nishanthbhat07/ObjectRecognition-Using-CNN-: Object detection using a deep learning algorithm- This app helps in classifying ten classes of the cifar dataset. These classes were: airplanes, cars, birds, cats, deer, dogs, frogs, horses
![](https://user-images.githubusercontent.com/81585804/176243750-8bf26887-b475-4af9-a631-fc29575535ed.png)
GitHub - MelihGulum/CIFAR-10-CNN-FLASK-Deployment: Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
GitHub - arbazcodes/Multi-Class-Image-Classifier-CNN: This Python script demonstrates the implementation of a Convolutional Neural Network (CNN) for image classification using the CIFAR-10 dataset. It utilizes TensorFlow, along with data augmentation
![](https://ars.els-cdn.com/content/image/1-s2.0-S0957417423026969-gr4.jpg)
FishTrack: Multi-object tracking method for fish using spatiotemporal information fusion - ScienceDirect
GitHub - Ahmad-AlShalabi/Fish-detection: Fish detector using Deep learning - ResNet Model with ImageNet weights
GitHub - LukaszMalucha/Image-Classification: Flask Blueprint & RESTful application with various image classification models.
![](https://user-images.githubusercontent.com/81585804/176242139-eac5db1e-cce6-4c0f-9fff-3537bc6cc704.png)
GitHub - MelihGulum/CIFAR-10-CNN-FLASK-Deployment: Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
![](https://miro.medium.com/v2/resize:fit:920/1*pC17yFeiwhmcpBj_kokTVQ.png)
Review — Exemplar-CNN: Discriminative Unsupervised Feature Learning with Convolutional Neural Networks (Self-Supervised Learning), by Sik-Ho Tsang, Geek Culture
![](https://user-images.githubusercontent.com/47110600/56954483-c809c400-6b36-11e9-8d1a-fa19647ba524.png)
GitHub - geojames/CNN-Supervised-Classification: Python code for self-supervised classification of remotely sensed imagery - part of the Deep Riverscapes project
GitHub - NUIST-Videocoding/MB-CNN: MB-CNN: No-Reference Image Quality Assessment via Multi-Branch Convolutional Neural Networks
GitHub - ekagra-ranjan/fake-news-detection-LIAR-pytorch: Fake News Detection by Learning Convolution Filters through Contextualized Attention