The instructblip model has a wide range of use cases in various industries. In the e-commerce industry, this model can be used to automatically generate product descriptions based on images and instructions. It can also be employed in the field of robotics for tasks such as object recognition and captioning for vision-guided robots. In the healthcare sector, instructblip can be utilized to generate descriptive captions for medical imagery, aiding doctors in diagnosis and treatment. Furthermore, this model can be applied in the field of autonomous vehicles for image analysis and captioning in real-time. In the entertainment industry, instructblip can be used to generate captions and subtitles for movies and TV shows, improving accessibility for users with hearing impairments. Overall, instructblip opens up possibilities for creating products and applications that can automatically generate accurate and relevant captions for images based on textual instructions, enhancing efficiency and convenience in various domains.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|No other models by this creator|
You can use this area to play around with demo applications that incorporate the Instructblip 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.
Summary of this model and related resources.
Image captioning via vision-language models with instruction tuning
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.0069|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||3 seconds|