Models
LLaVA vs. DETIC

LLaVA vs. DETIC

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

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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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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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
GitHub Stars
16,000
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1.8k+
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License
Apache-2.0
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Apache 2.0
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Training Notebook

Compare LLaVA-1.5 and DETIC with Autodistill

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Compare LLaVA 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.