# Object Detection and Segmentation

PaliGemma 2 is an upgraded vision-language model based on Gemma 2, supporting multilingual image-text input and text output, specifically designed for vision-language tasks

PaliGemma 2 is a Vision-Language Model (VLM) launched by Google, combining the capabilities of the Gemma 2 language model and SigLIP vision model, supporting image and text inputs to generate text outputs.

PaliGemma 2 is a Vision-Language Model (VLM) launched by Google, integrating Gemma 2 capabilities, supporting image and text input to generate text output

PaliGemma 2 is Google's upgraded vision-language model (VLM) that combines Gemma 2 capabilities, supporting image and text input to generate text output.

PaliGemma 2 is a vision-language model (VLM) that combines the capabilities of the Gemma 2 model. It can process both image and text inputs simultaneously and generate text outputs, supporting multiple languages. It is suitable for various vision-language tasks such as image and short video captioning, visual question answering, text reading, object detection, and object segmentation.

PaliGemma 2 is a multimodal vision-language model that combines image and text inputs to generate text outputs. It supports multiple languages and is suitable for various vision-language tasks.

PaliGemma 2 is a vision-language model based on Gemma 2, supporting image and text input to generate text output, suitable for various vision-language tasks.

PaliGemma 2 is an upgraded vision-language model developed by Google, combining the capabilities of Gemma 2, supporting image and text inputs to generate text outputs, suitable for various vision-language tasks.

Florence-2 is an advanced vision foundation model developed by Microsoft, employing a prompt-based approach to handle diverse visual tasks through unified representation, enabling functions like image captioning and object detection.

Florence-2 is an advanced vision foundation model developed by Microsoft, employing a prompt-based approach to handle a wide range of vision and vision-language tasks.

PaliGemma is a multi-functional lightweight vision-language model that combines image and text inputs to generate text outputs. It supports multiple languages and performs excellently in various vision-language tasks.

PaliGemma is a multi-functional lightweight vision-language model that combines image and text inputs to generate text outputs and supports multiple languages.

PaliGemma is a multi-functional lightweight vision-language model (VLM) that supports multi-language input and output and is suitable for various vision-language tasks.

PaliGemma is a multi-functional lightweight vision-language model (VLM) that supports multilingual input and output and excels in various vision-language tasks such as image captioning and visual question answering.

PaliGemma is a versatile lightweight vision-language model (VLM) built upon the SigLIP vision model and Gemma language model, supporting image and text inputs to generate text outputs

PaliGemma is a versatile and lightweight vision-language model (VLM) that supports image and text input and generates text output, suitable for various vision-language tasks.

PaliGemma is a multi-functional lightweight vision-language model that combines image and text inputs to generate text outputs and supports multiple languages.

PaliGemma is a lightweight vision-language model developed by Google, built on the SigLIP vision model and the Gemma language model, supporting multilingual image-text understanding and generation.

PaliGemma is a versatile lightweight vision-language model (VLM) built upon SigLIP vision model and Gemma language model, capable of processing both image and text inputs to generate text outputs.

PaliGemma is a lightweight vision-language model that combines image and text inputs to generate text outputs, supporting multilingual and multi-task processing.

PaliGemma is a multi-functional lightweight vision-language model that supports image and text input and generates text output, suitable for various vision-language tasks.

PaliGemma is a multi-functional lightweight vision-language model (VLM) that supports image and text input and generates text output, suitable for various vision-language tasks.