In the train data, there’re 891 passengers, and the average survival rate is 38%. Age ranges from 0.42 to 80 and the average is ~30 year old. At least 50% of passengers don’t have siblings / spouses aboard the Titanic , and at least 75% of passengers don’t have parents /.
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Indoor Scenes Images - This MIT image classification dataset was designed to aid with indoor scene recognition, and features 15,000+ images of indoor locations and scenery. Each image is a JPEG that's divided into 67 separate categories, with images per category varying across the board. Each category comes with a minimum of 100 images.
2019. 8. 1. · It totally has 801K clothing clothing items, where each item in an image is labeled with scale, occlusion, zoom-in, viewpoint, category, style, bounding box, dense landmarks and. In this tutorial, you will discover the standard computer vision datasets provided with the Keras deep learning library. After completing this tutorial, you will know: The API and idioms for downloading standard computer vision datasets using Keras. The structure, nature, and top results for the MNIST, Fashion-MNIST, CIFAR-10, and CIFAR-100. Clothing dataset kaggle [email protected] [email protected] [email protected] [email protected] [email protected] locomotion animation set fotelje za decu kraljevo is a place for mom nonprofit. The dataset contain the google analytics information collected from the activity of a shopping online. It consists of feature vectors belonging to.
Kaggle . Jun 2019 - Present3 years 2 months. New Delhi, Delhi, India. I participate in Kaggle competitions during my spare time, practicing machine learning skills including regression/classification for tabular data, Computer Vision, NLP , etc. This is also to stay engaged and keep learning and evolving. I've even won several competitions. 2021. 3. 31. · 5. Deep-NLP. This is one of the most useful datasets for natural language processing. It is associated with deep natural language processing (Deep-NLP). This dataset is quite good and will give you a kick-start if you want. 295. DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels: This dataset includes 1) 12234 documents (8251 training, 3983 test) extracted from DeliciousT140 dataset, 2) class labels for all documents, 3) labels for a subset of sentences of the test documents. 296. 2014. 9. 25. · Meanwhile the dataset is now available for academic use. This one is pretty big, ... However, to make to make things easy for everyone, we have a smaller version of the Kaggle dataset for people with smaller internet connection. Click here to download smaller version. JB Tien. Share on Facebook Share on Twitter Share on.