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Models
YOLOv10 vs. YOLOv8
YOLOv10 vs. YOLOv8
Both YOLOv10 and YOLOv8 are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and YOLOv8.
YOLOv10
YOLOv8
Models
YOLOv10
YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
Learn more about YOLOv10
YOLOv8
YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
Learn more about YOLOv8
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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YOLO, CNN
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
7800
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21.1k+
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License
GNU Affero General Public
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AGPL-3.0
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
Compare Alternatives
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Compare with...
YOLOv9
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny
ResNet 32
Scaled YOLOv4
YOLOR
YOLOS
YOLOX
Faster R-CNN
Detectron2
EfficientNet
Mask RCNN
SegFormer
YOLOv8
MT-YOLOv6
YOLOv7
YOLOv5
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Compare with...
YOLO11
YOLO11
Phi-3.5
YOLOv9 Image Segmentation
Florence 2 Image Segmentation
Florence 2 Object Detection
GPT-4o
4M
Florence 2
YOLOv9
YOLOv10
PaliGemma
YOLO-World
Compare YOLOv10 and YOLOv8 with Autodistill