Transformers
TensorBoard
Safetensors
English
dinov2
multilabel-image-classification
multilabel
Generated from Trainer
Instructions to use lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze with Transformers:
# Load model directly from transformers import AutoImageProcessor, NewheadDinov2ForImageClassification processor = AutoImageProcessor.from_pretrained("lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze") model = NewheadDinov2ForImageClassification.from_pretrained("lombardata/DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -66,7 +66,7 @@ Details on the number of images for each class are given in the following table:
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| 66 |
| No_acropore_sub_massive | 1412 | 418 | 426 | 2256 |
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| 67 |
| Rock | 4487 | 1481 | 1489 | 7457 |
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| 68 |
| Sand | 5806 | 1959 | 1954 | 9719 |
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| 70 |
| Sea_cucumber | 1396 | 453 | 445 | 2294 |
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| 71 |
| Sea_urchins | 319 | 122 | 104 | 545 |
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| 72 |
| Sponge | 273 | 107 | 90 | 470 |
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| 66 |
| No_acropore_sub_massive | 1412 | 418 | 426 | 2256 |
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| 67 |
| Rock | 4487 | 1481 | 1489 | 7457 |
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| 68 |
| Sand | 5806 | 1959 | 1954 | 9719 |
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| 69 |
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| Rubble | 3063 | 1030 | 1030 | 5123 |
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| 70 |
| Sea_cucumber | 1396 | 453 | 445 | 2294 |
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| 71 |
| Sea_urchins | 319 | 122 | 104 | 545 |
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| 72 |
| Sponge | 273 | 107 | 90 | 470 |
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