WebThe CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes. The 10 different … WebThis dataset encompasses my collection of classification and regression. code. New Notebook. table_chart. New Dataset. emoji_events. New Competition. No Active Events. Create notebooks and keep track of their status here. add New Notebook. auto_awesome_motion. 0.
7 Image Datasets for Classification & How to Build …
WebImage Datasets for Image Classification 1. ImageNet 2. CIFAR-10 3. ObjectNet 4. MIT Indoor Scenes 5. Scene Understanding (SUN) Database 6. Architectural Heritage Elements (AHE) 7. Intel Image Classification … WebApr 10, 2024 · The dataset consists of around 21,000 items. Not too small, it’s also not too large, making it perfect for showing off the advantages and disadvantages of each model and approach. Let’s come back to this once we have the … nothks
Best Architecture for Your Text Classification Task: Benchmarking …
WebJul 15, 2024 · Datasets serve as the railways upon which machine learning algorithms ride. Without them, any machine-learning algorithm will fail to progress in the domains of text … WebUCI Machine Learning Repository: Data Sets. Browse Through: Default Task. Classification (466) Regression (151) Clustering (121) Other (56) Attribute Type. WebJul 8, 2024 · r/datasets – Open datasets contributed by the Reddit community. This is another source of interesting and quirky datasets, but the datasets tend to less refined. Datasets for General Machine Learning. In this context, we refer to “general” machine learning as Regression, Classification, and Clustering with relational (i.e. table-format) … nothly