any dataset of DICOM files. If you are interested in actually using this code in a real application rather than just replicating my work, please reach out. This code is unnecessarily complicated due to the cutthroat and very hasty nature of Kaggle competitions. It could be considerably simplified...
Transport for Norway Transport APIs and dataset for Norway No Yes Unknown Transport for Ottawa, Canada OC Transpo API apiKey Yes Unknown Transport for Paris, France RATP Open Data API No No Unknown Transport for Philadelphia, US SEPTA APIs No No Unknown Transport for Sao Paulo, Brazil SPTrans...
FER2013 Dataset Dataset fromhttps://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/dataImage Properties: 48 x 48 pixels (2304 bytes) labels: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral The training set consists of 28,709...
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The Dataset consists of Drawings from different categories. Each npy file is an array with 28x28 black and white drawings. You can easily load them with np.load() Acknowledgements Thanks To Google for providing the data. Inspiration You can do image classification, how much accuracy can you ...
Implement a support vector machine (SVM) to classify images of cats and dogs from the Kaggle dataset. Dataset The dataset contains 12,000 images of cats and dogs. The images are grayscale and have a size of 150x150 pixels. The dataset is divided into a training set and a test set. The...
Then run this mat to generate proposals of training data, then move the outputtrain.matto the root of your dataset, e.g./home/coldmanck/kaggle(Note that if you have follow the instruction of original fast-rcnn repository, you should have made an symbolic link under$FRCNN_ROOT/data). It...
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