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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.
2.2k images 22 classes 1 model
1 0 0 0 1 1 1 1 0 0 0 3 0.6026203125 0.3662796875 0.5895203125 0.360465625 0.4825328125 0.375 0.4869 0.48546562499999996 0.49563281249999996 0.511628125 0.534934375 0.5319765624999999 0.6004359375 0.5319765624999999 0.6026203125 0.3662796875 3 0.8820953125000001 0.311046875 0.831878125 0.2412796875 0.7358078124999999 0.2325578125 0.6506546875 0.2441859375 0.6528390625 0.26744218750000004 0.6310046875 0.3662796875 0.611353125 0.375 0.6179046875 0.6075578125 0.6353718749999999 0.6162796875 0.8340609375 0.625 0.8995640625 0.6075578125 0.927946875 0.5784890625 0.9454156250000001 0.5348843750000001 0.9475984375 0.3691859375 0.9017468750000001 0.360465625 0.8820953125000001 0.311046875 3 1 0.373278125 0.9585156250000001 0.3691859375 0.9606984375 0.5174421875 0.9694328125 0.52325625 0.9759828125000001 0.5087203125 1 0.5053546875 1 0.373278125 4 5 Bird-drop Clean-Panels Defective Dusty Electrical-Damage Electrical-Damge Non-Defective Physical-Damage Physical-Damge Snow bird drops defective dusty electrical-damage
994 images 6 classes 1 model
4.1k images 25 classes 5 models
884 images 4 classes 2 models
4.7k images 45 classes 24 models
AdvertisementZone DigitizationArtefactZone DropCapitalZone FigureZone FigureZone-FigDesc FigureZone-Head GraphicZone GraphicZone-Decoration GraphicZone-FigDesc GraphicZone-Head GraphicZone-Maths GraphicZone-Part GraphicZone-TextualContent MainZone-Date MainZone-Entry MainZone-Entry-Continued MainZone-Form MainZone-Head MainZone-Lg MainZone-Lg-Continued
438 images 30 classes 4 models
1k images 5 classes 2 models
45 images 9 classes 1 model
9.8k images 12 classes 1 model