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Vision Transformer Alternatives
Explore alternatives to the Vision Transformer (ViT) classification model architecture.
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Deploy select models (i.e. YOLOv8, CLIP) using the Roboflow Hosted API, or your own hardware using
Roboflow Inference
.
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models.
YOLOv5 Classification
YOLOv5 Classification is a version of the YOLOv5 model used in single-label and multi-label image classification.
Classification
Deploy with Roboflow
YOLOv8 Classification
An image classification model built using YOLOv8.
Classification
Deploy with Roboflow
Vision Transformer
The Vision Transformer leverages powerful natural language processing embeddings (BERT) and applies them to images.
Classification
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EfficientNet
EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.
Classification
Deploy with Roboflow
SigLIP
SigLIP is an image embedding model defined in the "Sigmoid Loss for Language Image Pre-Training" paper.
Classification
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MetaCLIP
MetaCLIP is a zero-shot classification and embedding model developed by Meta AI.
Classification
Deploy with Roboflow
ResNet 32
A fast, simple convolutional neural network that gets the job done for many tasks, including classification.
Classification
Deploy with Roboflow
MobileNet V2 Classification
MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
Classification
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ResNet 34
A fast, simple convolutional neural network that gets the job done for many tasks, including classification.
Classification
Deploy with Roboflow
FastViT
FastViT is a fast image classification model developed by Apple.
Classification
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ALBEF
Classification
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BLIPv2
BLIPv2 is a multimodal model developed by Salesforce Research.
Classification
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BLIP
Classification
Deploy with Roboflow
MobileCLIP
MobileCLIP is an image embedding model developed by Apple and introduced in the "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" paper
Classification
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BioCLIP
BioCLIP is a Vision Foundation Model for the Tree of Life
Classification
Deploy with Roboflow
RemoteCLIP
RemoteCLIP is a zero-shot classification model for remote sensing.
Classification
Deploy with Roboflow
AltCLIP
AltCLIP is a zero-shot image classification model.
Classification
Deploy with Roboflow
ResNet-50
Classification
Deploy with Roboflow
Visual Question Answering
Image Tagging
Image Similarity
Image Captioning
Zero-shot Detection
Real-Time Vision
Image Embedding
LLMS with Vision Capabilities
Multimodal Vision
Foundation Vision