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Instancecap Captioner
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Instancecap Captioner
Developed by AnonMegumi
A visual language model fine-tuned on the instancevid dataset based on Qwen2.5-VL-7B-Instruct, specializing in instance-level image description generation
Downloads 14
Release Time : 4/8/2025
Model Overview
This is a visual language model capable of generating detailed descriptions of specific instances within images. It is based on the Qwen2.5-VL-7B-Instruct architecture and fine-tuned on the instancevid dataset.
Model Features
Instance-level Image Description
Capable of generating detailed descriptions for specific instances within an image, rather than generic descriptions of the entire image.
Multimodal Understanding
Combines visual and linguistic comprehension to handle complex image-text association tasks.
Efficient Fine-tuning
Utilizes efficient fine-tuning techniques like LoRA to optimize for specific tasks while maintaining the original model's performance.
Model Capabilities
Image understanding
Instance-level description generation
Multimodal reasoning
Visual question answering
Use Cases
Content Generation
E-commerce Product Descriptions
Automatically generates detailed visual descriptions for products on e-commerce platforms.
Improves the accuracy and richness of product descriptions.
Accessibility Assistance
Provides detailed audio descriptions of image content for visually impaired users.
Enhances digital content accessibility.
Computer Vision
Video Content Analysis
Generates continuous descriptions of specific objects in video frames.
Supports video content understanding and retrieval.
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