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Models
Phi-3.5 vs. YOLOv10
Phi-3.5 vs. YOLOv10
Both Phi-3.5 and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast Phi-3.5 and YOLOv10.
Phi-3.5
YOLOv10
Models
Phi-3.5
Learn more about Phi-3.5
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
Multimodal Model
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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
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7800
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License
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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 Tiny
YOLOR
YOLOS
YOLOX
Faster R-CNN
Detectron2
EfficientNet
Mask RCNN
SegFormer
YOLOv8
MT-YOLOv6
YOLOv7
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Compare with...
Phi-3.5
YOLOv9 Image Segmentation
Florence 2 Image Segmentation
Florence 2 Object Detection
GPT-4o
4M
YOLOv9
Compare Phi-3.5 and YOLOv10 with Autodistill
