Models
Florence-2 vs. DETIC

Florence-2 vs. DETIC

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

Models

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Florence 2

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
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DETIC

Detic is an open source segmentation model developed by Meta Research and released in 2022.
Model Type
Object Detection
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Instance Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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1.8k+
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License
MIT
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Apache 2.0
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Training Notebook

Compare Florence 2 and DETIC with Autodistill

Compare Florence-2 vs. DETIC

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.