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Semantic Segment Anything

cjwbw

AI model preview image
The semantic-segment-anything model is a computer vision model that adds semantic labels to images. It uses deep learning techniques to segment different objects and areas in an image and assigns them meaningful labels. This can be helpful in various applications such as object recognition, scene understanding, and image analysis. The model can be trained on different datasets to improve its accuracy and generalization.

Use cases

The semantic-segment-anything model has a wide range of potential use cases in computer vision. It can be used for object recognition, allowing for precise identification and classification of objects in an image. This can be useful in applications such as autonomous vehicles, where it can help in discerning between pedestrians, vehicles, and other obstacles on the road. The model can also be applied in scene understanding, enabling computers to analyze images and infer the context and meaning of different elements within the scene. This can be valuable in applications such as surveillance systems, where it can help in detecting anomalies or identifying specific features of interest. Additionally, the model can be utilized in image analysis tasks, such as medical imaging, where it can assist in segmenting and labeling different anatomical structures in medical scans for better diagnosis. Overall, the semantic-segment-anything model has the potential to enhance a wide range of products and applications by providing accurate and detailed semantic labels to images.

Image-to-Text

Pricing

Cost per run
$0.2553
USD
Avg run time
111
Seconds
Hardware
Nvidia A100 (40GB) GPU
Prediction

Creator Models

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Controlvideo$?1,834

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Semantic Segment Anything model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.

Overview

Summary of this model and related resources.

PropertyValue
Creatorcjwbw
Model NameSemantic Segment Anything
Description
Adding semantic labels for segment anything
TagsImage-to-Text
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkNo paper link provided

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs17,703
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

PropertyValue
Cost per Run$0.2553
Prediction HardwareNvidia A100 (40GB) GPU
Average Completion Time111 seconds