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Search Zero-Shot , found 3 results

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Blip2 Vision Language

blip-2-vision-language

Orchestra-Research/AI-Research-SKILLs

Bridges frozen vision encoders and LLMs for high-quality image captioning, VQA, retrieval, and multimodal chat, enabling zero-shot reasoning without fine-tuning and offering efficient Q-Former training.

CLIP Vision-Language Toolkit

Orchestra-Research/AI-Research-SKILLs

CLIP enables general-purpose vision-language tasks through zero-shot image classification, similarity scoring, semantic search, and content moderation using pretrained contrastive embeddings without fine-tuning.

Segment Anything Model

segment-anything-model

Orchestra-Research/AI-Research-SKILLs

Provides Meta AI’s Segment Anything Model for zero-shot image segmentation via interactive prompts or automatic mask generation, enabling rapid dataset creation and integration in vision pipelines.

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