Image Classification Models

Browse AI models for multimodal decomposition and recomposition pipelines: plug any model into your extractors.

756 models available

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Showing 409-432 of 756 models

Image Classification

timm/densenetblur121d.ra_in1k

timm

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Image Classification

timm/rexnet_100.nav_in1k

timm

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Image Classification

timm/tf_mobilenetv3_large_100.in1k

timm

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Image Classification

timm/vit_large_patch16_224.augreg_in21k

timm

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Image Classification

p1atdev/wd-swinv2-tagger-v3-hf

transformers

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Image Classification

smp-hub/efficientnet-b4.imagenet

segmentation-models-pytorch

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Image Classification

timm/swinv2_cr_small_ns_224.sw_in1k

timm

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Image Classification

Xenova/vit-base-patch16-224

transformers.js

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Image Classification

timm/deit3_base_patch16_224.fb_in22k_ft_in1k

timm

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Image Classification

sharmajai901/UL_base_classification

transformers

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Image Classification

dima806/attractive_faces_celebs_detection

transformers

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Image Classification

timm/vgg11.tv_in1k

timm

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Image Classification

timm/resnext50_32x4d.a1_in1k

timm

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Image Classification

dima806/ai_vs_real_image_detection

transformers

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Image Classification

nvidia/mit-b4

transformers

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Image Classification

timm/edgenext_xx_small.in1k

timm

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Image Classification

timm/tf_efficientnetv2_b3.in21k_ft_in1k

timm

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Image Classification

chandra1976/vit-facial-expression-fatigue

transformers

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Image Classification

timm/convnext_small.fb_in1k

timm

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Image Classification

timm/eva02_large_patch14_448.mim_in22k_ft_in22k_in1k

timm

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Image Classification

timm/levit_128.fb_dist_in1k

timm

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Image Classification

timm/hrnet_w48.ms_in1k

timm

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Image Classification

timm/deit3_small_patch16_224.fb_in1k

timm

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Image Classification

microsoft/swinv2-base-patch4-window12-192-22k

transformers

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Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models: plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.