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Models
YOLO11 vs. YOLOv10
YOLO11 vs. YOLOv10
Both YOLO11 and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOv10.
YOLO11
YOLOv10
Models
YOLO11
YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
Learn more about YOLO11
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
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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YOLO
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Frameworks
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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
29000
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7800
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License
AGPL-3.0
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GNU Affero General Public
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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...
YOLOv10
PaliGemma
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
PaliGemma
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
--
Compare with...
YOLO11
Phi-3.5
YOLOv9 Image Segmentation
Florence 2 Image Segmentation
Florence 2 Object Detection
GPT-4o
4M
YOLOv9
Compare YOLO11 and YOLOv10 with Autodistill