Top Trained YOLOv8 Models
These projects have a fine-tuned YOLOv8 weights checkpoint and API you can use to perform inference or deploy to a server or edge device. To learn more about how to use YOLOv8, check out our how to train and deploy YOLOv8 tutorial. To learn about the architecture of YOLOv8, check out our YOLOv8 model deep dive.
by rice
225 images 10 classes
by Amrutha
1720 images 26 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.25 pixels * Random brigthness adjustment of between -25 and +25 percent * Random rotation of between -5 and +5 degrees * Random shear of between -5° to +5° horizontally and -5° to +5° vertically * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand unstructured image data * use active learning to improve your dataset over time 22 23 24 25 ============================== American Sign Language Letters - v1 v1
by David Tock
55 images 10 classes
by rosas
3187 images 10 classes
486 images 3 classes
by FYP PROJECTS
8717 images 1 classes
by FYP
4467 images 7 classes
826 images 3 classes