Image classification AI Models

Models listed

50

Reviewed and live in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Image classification models are a source-backed task collection in this directory. The current editorial inventory contains 25 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Image classification model list

Scan the table below, then open any model for pricing, limits and the full write-up.

50 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
AdamCodd/vit-base-nsfw-detector
AdamCodd
10.0
amunchet/rorshark-vit-base
amunchet
10.0
buildborderless/CommunityForensics-DeepfakeDet-ViT
buildborderless
10.0
dima806/fairface_age_image_detection
dima806
10.0
facebook/convnextv2-base-22k-384
facebook
10.0
Falconsai/nsfw_image_detection
Falconsai
10.0
Freepik/nsfw_image_detector
Freepik
10.0
giacomoarienti/nsfw-classifier
giacomoarienti
10.0
google/vit-base-patch16-224
google
10.0
google/vit-base-patch16-384
google
10.0
haywoodsloan/ai-image-detector-dev-deploy
haywoodsloan
10.0
ISxOdin/vit-base-oxford-iiit-pets
ISxOdin
10.0
microsoft/resnet-50
microsoft
10.0
microsoft/swinv2-tiny-patch4-window16-256
microsoft
10.0
nvidia/mit-b2
nvidia
10.0
rizvandwiki/gender-classification
rizvandwiki
10.0
timm/convnext_base.clip_laion2b_augreg_ft_in12k_in1k
timm
10.0
timm/convnext_base.fb_in22k_ft_in1k
timm
10.0
timm/convnext_base.fb_in22k_ft_in1k_384
timm
10.0
timm/convnext_femto.d1_in1k
timm
10.0
timm/convnext_small.fb_in22k_ft_in1k_384
timm
10.0
timm/convnext_tiny.fb_in22k_ft_in1k
timm
10.0
timm/convnext_tiny.in12k_ft_in1k
timm
10.0
timm/convnextv2_tiny.fcmae_ft_in22k_in1k
timm
10.0
timm/densenet121.ra_in1k
timm
10.0
timm/edgenext_small.usi_in1k
timm
10.0
timm/efficientnet_b0.ra_in1k
timm
10.0
timm/efficientnet_b2.ra_in1k
timm
10.0
timm/efficientnet_b3.ra2_in1k
timm
10.0
timm/mobilenetv3_large_100.ra_in1k
timm
10.0
timm/mobilenetv3_small_100.lamb_in1k
timm
10.0
timm/mobilenetv4_conv_small.e2400_r224_in1k
timm
10.0
timm/regnety_032.ra_in1k
timm
10.0
timm/repvgg_a0.rvgg_in1k
timm
10.0
timm/resnet18.a1_in1k
timm
10.0
timm/resnet18.a3_in1k
timm
10.0
timm/resnet34.a1_in1k
timm
10.0
timm/resnet50.a1_in1k
timm
10.0
timm/resnet50.fb_swsl_ig1b_ft_in1k
timm
10.0
timm/swin_base_patch4_window12_384.ms_in22k_ft_in1k
timm
10.0
timm/swin_tiny_patch4_window7_224.ms_in1k
timm
10.0
timm/tf_efficientnetv2_s.in21k_ft_in1k
timm
10.0
timm/vit_base_patch16_224.augreg2_in21k_ft_in1k
timm
10.0
timm/vit_base_patch16_224.augreg_in21k_ft_in1k
timm
10.0
timm/vit_base_patch8_224.augreg2_in21k_ft_in1k
timm
10.0
timm/vit_small_patch16_224.augreg_in21k_ft_in1k
timm
10.0
timm/vit_tiny_patch16_224.augreg_in21k_ft_in1k
timm
10.0
timm/vit_tiny_r_s16_p8_224.augreg_in21k
timm
10.0
timm/wide_resnet50_2.racm_in1k
timm
10.0
umutbozdag/plant-identity
umutbozdag
10.0

50 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Image classification model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.