Models
VLPart vs. DETIC

VLPart vs. DETIC

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

Models

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VLPart

VLPart, developed by Meta Research, is an object detection and segmentation model that works with an open vocabulary
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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
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1.8k+
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License
MIT License
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Apache 2.0
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Training Notebook

Compare VLPart and DETIC with Autodistill

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Compare VLPart 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.