Top Image Datasets and Models
The datasets below can be used to train fine-tuned models for image 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 image datasets below.
748 images 11 classes
by web
237 images 18 classes
by nadhir
2383 images 14 classes
by HUAWEI
600 images 7 classes
8816 images 18 classes
* understand and search unstructured image data Pedestrian Crossing Radar Speed Limit -100- Speed Limit -120- Speed Limit -20- Speed Limit -30- Speed Limit -40- Speed Limit -50- Speed Limit -60- Speed Limit -70- Speed Limit -80- Speed Limit -90- Stop Sign Traffic Light -Green- Traffic Light -Off- Traffic Light -Red- Traffic Light -Yellow-
by p21p24
1589 images 15 classes
* annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * understand and search unstructured image data ============================== COVPICS - v2 2024-05-16 9:38am P21 al P21 ar P21 rl P21 rr P24 al P24 ar P24 rl P24 rr Roboflow is an end-to-end computer vision platform that helps you
1158 images 57 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * 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 1 10(10pin) 10(4pin) 11 13 14 1400 15 16 17 18 19
by uiu
46 images 11 classes
by Project
951 images 9 classes
by HADJEM
1238 images 103 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random brigthness adjustment of between -1 and +1 percent * Random rotation of between -1 and +1 degrees * Random shear of between -1° to +1° horizontally and -0° to +0° vertically * Resize to 640x640 (Stretch) * 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 22 23 24 25 26 27 28 29 30