Train VGG or ResNet for my own image classification
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Description
I would like to use VGG or Resnet to classify images capture by on car camera into two classes: normal road or road intersections. First of all, is there already onnx mode to detection road intersection? Second, if I want to train with my own data, how can I do it?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or code entry point is named. First review the repository's pre-trained ONNX model catalog and the VGG or ResNet image-classification coverage, then clarify whether the requested outcome is an added road-intersection model or training guidance for custom car-camera data.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100