Results for “image-text-matching”

23 skills
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qcmuu
Clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
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jiachen-t-wang
Flamingo A Visual Language Model For Few Shot Learning Arxiv
Flamingo: A Visual Language Model for Few-Shot Learning
6
qhjqhj00
Visor
Evaluates text-to-image models on spatial relationship accuracy using the VISOR metric, separating object detection from spatial correctness to reveal biases like object priority and merging.
3
peteedoo
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OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
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jiachen-t-wang
Coyo 700m Image Text Pair Dataset Github Kakaobrain Coyo 700
COYO-700M: Image-Text Pair Dataset
6
neuralblitz
Embeddings
Explains dense vector embeddings, their key concepts, common use cases, and best practices for semantic search and RAG applications.
1
aniruddhaadak80
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OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
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ichichuang
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OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
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upayanghosh
Synapse Image Describe
Provides detailed, structured image descriptions covering objects, people, colors, text, and scene context, with an overview and interpretation.
14
ichichuang
Stable Diffusion Image Generation
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
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bog5d
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OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
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qhjqhj00
Posh
Evaluates automated metrics and vision-language models on identifying granular errors in detailed image descriptions and ranking paired descriptions against human judgments, using macro F1, pairwise accuracy, Spearman rank ρ, and Kendall's τ.
3
antigravity
Imagen
Generates images using Google Gemini's image generation model for UI placeholders, documentation, and design assets.
42.4k
jiachen-t-wang
Snli Ve Visual Entailment Dataset Arxiv 1901 06706v1
SNLI-VE: Visual Entailment Dataset
6
samuraigpt
Muapi Keyboard Art Maker
Generate artistic top-down photos of keyboard keycaps arranged to spell out custom text messages.
3.7k
jackychenlu
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OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
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qhjqhj00
Cider
Computes CIDEr and related metrics to score how well generated image descriptions align with human consensus, using reference sentences and triplet annotations.
3
jiachen-t-wang
Sbu Captions Dataset Crossref Nips 2011 Sbu
SBU Captions Dataset
6
qhjqhj00
Geco
Evaluates geometric consistency in text-to-video generation by measuring structural and motion coherence across camera trajectories, detecting deformation and occlusion artifacts in static scenes.
3