Top 26 Datasets and Models
The datasets below can be used to train fine-tuned models for 26 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the 26 datasets below.
by James Mixon
5399 images 73 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -5 and +5 degrees * Randomly crop between 0 and 30 percent of the image * Resize to 640x352 (Fit within) * Salt and pepper noise was applied to 0 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 0 1 10 100 1000 10th Spot 11 12 13
by work
10280 images 664 classes
1 - Adam Davies 1 - Alisson 1 - Altay Bayındır 1 - Bart Verbruggen 1 - Cameron Plain 1 - Emiliano Martínez 1 - Hugo Lloris 1 - James Trafford 1 - Jordan Pickford 1 - José Sá 1 - Lukasz Fabianski 1 - Marek Rodak 1 - Mark Flekken 1 - Martin Dúbravka 1 - Matt Turner 1 - Neto 1 - Ramsdale 1 - Robert Sánchez 1 - james Shea 1 -Sam Johnstone