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image classification\n        Data Type - Image\n        Type of problem - Classification\n        dataset - https://www.kaggle.com/datasets/aravindanr22052001/emotiondetection-happy-or-sad\n        framework - tensorflow\n        model - Custom Convolutional Neural Network (ConvNet)\n\n## 2 deep face detection\n        Data Type - Image\n        Type of problem - Object Detection    \n        dataset - Here I created a dataset of my own and Annotated it using LABELME\n        framework - tensorflow\n        special libraries - Albumentations for data augmentation\n                          - Labelme for annotation\n        model - VGG16 multi output model (One for bounding box and one for classification)\n\n## 2 Capuchinbird audio detection\n        Data Type - Audio\n        Type of problem - Classification    \n        dataset - https://www.kaggle.com/datasets/kenjee/z-by-hp-unlocked-challenge-3-signal-processing\n        framework - tensorflow\n        special libraries - Albumentations for data augmentation\n                          - Labelme for annotation\n        model - VGG16 multi output model (One for bounding box and one for classification)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningzuu%2Fai-universe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachinelearningzuu%2Fai-universe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningzuu%2Fai-universe/lists"}