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Models
Resnet-32 vs. YOLOv4 PyTorch
Resnet-32 vs. YOLOv4 PyTorch
Both ResNet 32 and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast ResNet 32 and YOLOv4 PyTorch.
ResNet 32
YOLOv4 PyTorch
Models
ResNet 32
A fast, simple convolutional neural network that gets the job done for many tasks, including classification.
Learn more about ResNet 32
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.
Learn more about YOLOv4 PyTorch
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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YOLO
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Frameworks
Fast.ai v2
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
32+
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4.4k+
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License
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Apache-2.0
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Paper
--
View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
Compare Alternatives
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Compare with...
MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny
Scaled YOLOv4
YOLOR
YOLOS
YOLOX
Faster R-CNN
OpenAI CLIP
Detectron2
EfficientNet
Mask RCNN
SegFormer
MT-YOLOv6
YOLOv7
YOLOv5
--
Compare with...
YOLO11
YOLO11
Phi-3.5
YOLOv9 Image Segmentation
Florence 2 Image Segmentation
Florence 2 Object Detection
GPT-4o
4M
Florence 2
YOLOv9
YOLOv10
PaliGemma
YOLO-World
YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
ResNet 32
Scaled YOLOv4
YOLOR
YOLOS
YOLOX
Faster R-CNN
OpenAI CLIP
Detectron2
EfficientNet
Mask RCNN
SegFormer
MT-YOLOv6
YOLOv7
YOLOv5
Compare ResNet 32 and YOLOv4 PyTorch with Autodistill