Models
LLaVA vs. BakLLaVA

LLaVA vs. BakLLaVA

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

Models

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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.
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BakLLaVA

BakLLaVA is an LMM developed by LAION, Ontocord, and Skunkworks AI. BakLLaVA uses a Mistral 7B base augmented with the LLaVA 1.5 architecture.
Model Type
Object Detection
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Multimodal Model
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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
16,000
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650
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License
Apache-2.0
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Apache-2.0
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Training Notebook
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Compare LLaVA-1.5 and BakLLaVA with Autodistill

We ran seven tests across five state-of-the-art Large Multimodal Models (LMMs) on November 23rd, 2023. LLaVA passed at one of seven tests and BakLLaVA passed at one of seven tests. Here are the results:

Based on our tests, we assess that both LLaVA and BakLLaVA, while notable models, do not perform as well as other LMMs such as Qwen-VL and CogVLM.

Read more of our analysis.

Compare LLaVA vs. BakLLaVA

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.