Comments (4)
raphaelschwinger
commented on August 18, 2024
Number of samples: 41936
Number of different species: 86
Should we use the full dataset or prune that each class has at most 1000 samples?
Stefans Embeddings paper than randomly sample K-shots.
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raphaelschwinger
commented on August 18, 2024
The PR #70 added a notebook to create the subset of XC.
@Moritz-Wirth How can I include the data in HF?
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Moritz-Wirth
commented on August 18, 2024
working on it, should be uploaded by today or tomorrow
@raphaelschwinger
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raphaelschwinger
commented on August 18, 2024
@Moritz-Wirth Thanks!
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Related Issues (20)
- Implement instance peak normalization
- remove no_call class
- Add EfficientNet, MobileNet, and ConvNext models
- clean up transform and make it faster
- transform is loaded multiple times
- Paper: add dataset table HOT 1
- How to save pretrained weights HOT 2
- Update XC data files HOT 1
- Auswertung von BirdNet, Perch [done] HOT 5
- check test_5s splits
- Tutorial: add Model training section HOT 1
- Default Dataloaders
- trainer devices cant be set to specific gpu
- Class limit for datamodules in the multi-label setting
- Implement ConvNext and EfficientNet as HF models
- Extend Perch logits for missing labels & BirdNet
- Clean up Code to (maybe) make it a dataset package
- Error with background noise augmentation during evaluation HOT 7
- Remove augmentations from evaluation HOT 1
- Remove Train Split for eval.py
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