Object detection 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

Object detection 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.

Object detection model list

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

50 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
AnnaZhang/lwdetr_small_60e_coco
AnnaZhang
10.0
Anzhc/Anzhcs_YOLOs
Anzhc
10.0
Aryn/deformable-detr-DocLayNet
Aryn
10.0
ayushgupta7777/safetyvision-yolov8
ayushgupta7777
10.0
datalab-to/surya_layout2
datalab-to
10.0
disco-eth/cue-detr
disco-eth
10.0
facebook/detr-resnet-101
facebook
10.0
facebook/detr-resnet-101-dc5
facebook
10.0
facebook/detr-resnet-50
facebook
10.0
foduucom/stockmarket-pattern-detection-yolov8
foduucom
10.0
Fuyucchi/yolov8_animeface
Fuyucchi
10.0
hustvl/yolos-base
hustvl
10.0
hustvl/yolos-small
hustvl
10.0
hustvl/yolos-tiny
hustvl
10.0
IDEA-Research/dab-detr-resnet-50
IDEA-Research
10.0
iitolstykh/YOLO-Face-Person-Detector
iitolstykh
10.0
jameslahm/yoloe
jameslahm
10.0
keremberke/yolov5m-license-plate
keremberke
10.0
keremberke/yolov8m-table-extraction
keremberke
10.0
microsoft/conditional-detr-resnet-50
microsoft
10.0
microsoft/table-transformer-detection
microsoft
10.0
microsoft/table-transformer-structure-recognition
microsoft
10.0
microsoft/table-transformer-structure-recognition-v1.1-all
microsoft
10.0
morsetechlab/yolov11-license-plate-detection
morsetechlab
10.0
mosesb/best-comic-panel-detection
mosesb
10.0
mudler/locate-anything.cpp-gguf
mudler
10.0
PaddlePaddle/PP-DocLayoutV2
PaddlePaddle
10.0
PaddlePaddle/PP-DocLayoutV3_safetensors
PaddlePaddle
10.0
PekingU/rtdetr_r101vd_coco_o365
PekingU
10.0
PekingU/rtdetr_r18vd
PekingU
10.0
PekingU/rtdetr_r50vd
PekingU
10.0
PekingU/rtdetr_r50vd_coco_o365
PekingU
10.0
PekingU/rtdetr_v2_r101vd
PekingU
10.0
PekingU/rtdetr_v2_r18vd
PekingU
10.0
PekingU/rtdetr_v2_r50vd
PekingU
10.0
Piero2411/YOLOV8s-Barcode-Detection
Piero2411
10.0
Roboflow/rf-detr-base
Roboflow
10.0
SenseTime/deformable-detr
SenseTime
10.0
TahaDouaji/detr-doc-table-detection
TahaDouaji
10.0
Ultralytics/YOLO11
Ultralytics
10.0
Ultralytics/YOLO26
Ultralytics
10.0
Ultralytics/YOLOv8
Ultralytics
10.0
ustc-community/dfine-medium-obj2coco
ustc-community
10.0
ustc-community/dfine-nano-coco
ustc-community
10.0
ustc-community/dfine-small-coco
ustc-community
10.0
ustc-community/dfine-xlarge-coco
ustc-community
10.0
valentinafevu/yolos-fashionpedia
valentinafevu
10.0
Xenova/detr-resnet-50
Xenova
10.0
Xenova/yolos-tiny
Xenova
10.0
yainage90/fashion-object-detection
yainage90
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.

Object detection 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.