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Models
Phi-3.5 vs. YOLOv8
Phi-3.5 vs. YOLOv8
Both Phi-3.5 and YOLOv8 are commonly used in computer vision projects. Below, we compare and contrast Phi-3.5 and YOLOv8.
Phi-3.5
YOLOv8
Models
Phi-3.5
Learn more about Phi-3.5
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
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, CNN
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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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21.1k+
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License
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AGPL-3.0
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Paper
--
View Paper
--
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
--
Compare with...
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 Phi-3.5 and YOLOv8 with Autodistill
