Object detection Models
There are 38 AI and NLP models for Object detection in our directory. Browse the full list below, or explore models by provider.
Object detection is the task of locating and labelling objects within an image with bounding boxes. We list 38 models for it.
Updated June 2026
- 6-Act TetherObject detectionFacebook AI Research,Georgia Institute of Technology
- AlphaX-1Neural architecture search for computer vision,Image classification,Object detection,Image captioningFacebook AI Research,Brown University
- BEIT-3Object detection,Semantic segmentation,Image classification,Visual question answering,Image captioning,Language generationMicrosoft
- CompACT-DeepObject detectionUniversity of California San Diego
- CPC v2Image completion,Object detection,Image classificationDeepMind,University of California (UC) Berkeley
- DD-PPOObject detectionGeorgia Institute of Technology,Facebook AI Research,Oregon State University,Simon Fraser University
- DeticObject detection,Image classificationMeta AI,University of Texas at Austin
- DETRObject detectionFacebook
- EfficientDetObject detectionGoogle Brain
- EVA-01Image classification,Object detection,Semantic segmentation,Video classificationBeijing Academy of Artificial Intelligence / BAAI,Huazhong University of Science and Technology,Zhejiang University (ZJU),Beijing Institute of Technology
- Fast R-CNNObject detectionMicrosoft Research
- Faster R-CNNObject detectionMicrosoft Research
- FlorenceImage captioning,Visual question answering,Image classification,Object detectionMicrosoft
- Gemini Robotics-ER 1.5Instruction interpretation,Robotic manipulation,Image captioning,Object detection,Search,Language modeling/generation,Question answering,Speech recognition (ASR)Google DeepMind
- Histograms of Oriented GradientsObject detectionINRIA
- iCCCPObject detectionMassachusetts Institute of Technology (MIT)
- InternImageImage classification,Object detection,Image segmentationShanghai AI Lab,Tsinghua University,Nanjing University,SenseTime,Chinese University of Hong Kong (CUHK)
- JFTImage classification,Object detection,Semantic segmentation,Pose estimationGoogle Research,Carnegie Mellon University (CMU)
- Llama 3.2 11BVisual question answering,Image captioning,Object detectionMeta AI
- LMICAObject detection
- MobileNetObject detection,Image classification,Face detectionGoogle
- MobileNetV2Object detection,Image classification,Image segmentationGoogle
- Optimized Multi-Scale Edge DetectionObject detectionMassachusetts Institute of Technology (MIT)
- R-CNN (T-net)Object detectionUniversity of California (UC) Berkeley
- R-FCNObject detectionTsinghua University,Microsoft Research
- RetinaNet-R101Object detectionFacebook AI Research
- RetinaNet-R50Object detectionFacebook AI Research
- SAF R-CNNObject detectionBeijing Institute of Technology,Sun Yat-sen University,Panasonic R&D,National University of Singapore
- Selective SearchObject detection,Image segmentationUniversity of Trento,University of Amsterdam
- SemExpObject detectionCarnegie Mellon University (CMU),Facebook AI Research
- ShuffleNet v1Object detection,Image classificationMegvii Inc
- SSDObject detection
- TA-CNNObject detectionChinese University of Hong Kong (CUHK)
- ViT-22BObject detection,Image classificationGoogle
- YOLOObject detectionUniversity of Washington,Allen Institute for AI,Facebook AI Research
- YOLOv2Object detectionUniversity of Washington,Allen Institute for AI
- YOLOv3Object detectionUniversity of Washington
- YOLOX-XObject detectionMegvii Inc