Models
Florence 2 Object Detection vs. YOLOv10

Florence 2 Object Detection vs. YOLOv10

Both Florence 2 Object Detection and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 Object Detection and YOLOv10.

Models

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Florence 2 Object Detection

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
Learn more about Florence 2 Object Detection
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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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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
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
MIT
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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
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Compare Florence 2 Object Detection and YOLOv10 with Autodistill

Compare Florence 2 Object Detection vs. YOLOv10

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.