Models

OpenAI CLIP vs. YOLOv4 PyTorch

Both

OpenAI CLIP

and

YOLOv4 PyTorch

are commonly used in computer vision projects. Below, we compare and contrast

OpenAI CLIP

and

YOLOv4 PyTorch

.

  OpenAI CLIP YOLOv4 PyTorch
Date of Release Jan 05, 2021
Model Type Classification Object Detection
Architecture YOLO
GitHub Stars 11000 4200

OpenAI CLIP

CLIP (Contrastive Language-Image Pre-Training) is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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