Models
Florence-2 vs. LLaVA

Florence-2 vs. LLaVA

Both Florence 2 and LLaVA-1.5 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 and LLaVA-1.5.

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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LLaVA-1.5

LLaVA is an open source multimodal language model that you can use for visual question answering and has limited support for object detection.
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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Frameworks
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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16,000
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License
MIT
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Apache-2.0
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Training Notebook

Compare Florence 2 and LLaVA-1.5 with Autodistill

Compare Florence-2 vs. LLaVA

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.