CoreML-Models
Converted Core ML Model Zoo.
Core ML is a machine learning framework by Apple. If you are iOS developer, you can easly use machine learning models in your Xcode project.
How to use
Take a look this model zoo, and if you found the CoreML model you want, download the model from google drive link and bundle it in your project. Or if the model have sample project link, try it and see how to use the model in the project. You are free to do or not.
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Section Link
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Stable Diffusion :text2image
How to get the model
You can get the model converted to CoreML format from the link of Google drive. See the section below for how to use it in Xcode. The license for each model conforms to the license for the original project.
Image Classifier
Efficientnet
Google Drive Link | Size | Dataset | Original Project | License |
---|---|---|---|---|
Efficientnetb0 | 22.7 MB | ImageNet | TensorFlowHub | Apache2.0 |
Efficientnetv2
Google Drive Link | Size | Dataset | Original Project | License | Year |
---|---|---|---|---|---|
Efficientnetv2 | 85.8 MB | ImageNet | Google/autoML | Apache2.0 | 2021 |
VisionTransformer
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Google Drive Link | Size | Dataset | Original Project | License | Year |
---|---|---|---|---|---|
VisionTransformer-B16 | 347.5 MB | ImageNet | google-research/vision_transformer | Apache2.0 | 2021 |
Conformer
Local Features Coupling Global Representations for Visual Recognition.
Google Drive Link | Size | Dataset | Original Project | License | Year |
---|---|---|---|---|---|
Conformer-tiny-p16 | 94.1 MB | ImageNet | pengzhiliang/Conformer | Apache2.0 | 2021 |
DeiT
Data-efficient Image Transformers
Google Drive Link | Size | Dataset | Original Project | License | Year |
---|---|---|---|---|---|
DeiT-base384 | 350.5 MB | ImageNet | facebookresearch/deit | Apache2.0 | 2021 |
RepVGG
Making VGG-style ConvNets Great Again
Google Drive Link | Size | Dataset | Original Project | License | Year |
---|---|---|---|---|---|
RepVGG-A0 | 33.3 MB | ImageNet | DingXiaoH/RepVGG | MIT | 2021 |
RegNet
Designing Network Design Spaces
Google Drive Link | Size | Dataset | Original Project | License | Year |
---|---|---|---|---|---|
regnet_y_400mf | 16.5 MB | ImageNet | TORCHVISION.MODELS | MIT | 2020 |
MobileViTv2
CVNets: A library for training computer vision networks
Google Drive Link | Size | Dataset | Original Project | License | Year | Conversion Script |
---|---|---|---|---|---|---|
MobileViTv2 | 18.8 MB | ImageNet | apple/ml-cvnets | apple | 2022 |
Object Detection
YOLOv5s
Google Drive Link | Size | Output | Original Project | License | Note | Sample Project |
---|---|---|---|---|---|---|
YOLOv5s | 29.3MB | Confidence(MultiArray (Double 0 × 80)), Coordinates (MultiArray (Double 0 × 4)) | ultralytics/yolov5 | GNU | Non Maximum Suppression has been added. | CoreML-YOLOv5 |
YOLOv7
Google Drive Link | Size | Output | Original Project | License | Note | Sample Project | Conversion Script |
---|---|---|---|---|---|---|---|
YOLOv7 | 147.9MB | Confidence(MultiArray (Double 0 × 80)), Coordinates (MultiArray (Double 0 × 4)) | WongKinYiu/yolov7 | GNU | Non Maximum Suppression has been added. | CoreML-YOLOv5 |
YOLOv8
Google Drive Link | Size | Output | Original Project | License | Note | Sample Project |
---|---|---|---|---|---|---|
YOLOv8s | 45.1MB | Confidence(MultiArray (Double 0 × 80)), Coordinates (MultiArray (Double 0 × 4)) | ultralytics/ultralytics | GNU | Non Maximum Suppression has been added. | CoreML-YOLOv5 |