CSAILVision / CSAILVision/NetDissect
Identifying concepts in each image
- Lingua principale
- Python
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Descrizione
How can I identify a concept in an image? I want to debug the dataset to understand the concepts labelled for each image, but I couldn't find a simple way.
I know that the CSV files in the dataset folder index for each image and its concepts (part, object, etc.). But I couldn't find a way to see the label concept in an image; for example, I'd like to know which image has the wheel part concept. Can I identify this using only the CSV files? If not, could you tell me where in the code can I extract this information?
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Direzione di ricerca
Start with the CSV files in the dataset folder and trace the code that reads their image and concept fields. Check whether the existing data and entry points can identify images labeled with a concept such as wheel; done would be a documented, reproducible way to extract that mapping, or a clear statement that support is missing.
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Valutazione
- Stack tecnologico
- python
- Ambito
- machine-learning
- Tipo di issue
- Documentazione
- Difficoltà
- 3/5
- Tempo stimato
- 1-2 giorni
- Stato di attività
- Ferma
- Chiarezza
- Da chiarire
- Idoneità per principianti
- 25/100