Inference on custom dataset
Open
- Dominant language
- Python
- Stars
- 128
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
Hi, I have successfully trained the model on the ActivityNet Dataset. I wanted to run the trained model on a custom dataset. How can I create the dataset and extract features?
Contributor guide
No contributing guide indexed for this repository
Research direction
No file, test, or entry point is named in the issue. Start by locating the repository's ActivityNet dataset preparation and feature-extraction workflow, then document how a custom dataset should be created and processed for inference; done means those steps are reproducible for a new dataset.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100