Update README.md
Browse files
README.md
CHANGED
|
@@ -2,4 +2,82 @@
|
|
| 2 |
license: mit
|
| 3 |
datasets:
|
| 4 |
- blanchon/EuroSAT_RGB
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
license: mit
|
| 3 |
datasets:
|
| 4 |
- blanchon/EuroSAT_RGB
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy type:accuracy value:.88
|
| 7 |
+
library_name: transformers
|
| 8 |
+
language:
|
| 9 |
+
- en
|
| 10 |
+
pipeline_tag: image-classification
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
### Recommendations
|
| 17 |
+
|
| 18 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 19 |
+
|
| 20 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
[More Information Needed]
|
| 25 |
+
|
| 26 |
+
## Training Details
|
| 27 |
+
|
| 28 |
+
### Training Data
|
| 29 |
+
This model was trained on the Eurosat dataset containing Sentinel-2 satellite images available at ```blanchon/EuroSAT_RGB```
|
| 30 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 31 |
+
|
| 32 |
+
[More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Training Procedure
|
| 35 |
+
|
| 36 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 37 |
+
|
| 38 |
+
#### Preprocessing [optional]
|
| 39 |
+
|
| 40 |
+
[More Information Needed]
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
#### Training Hyperparameters
|
| 44 |
+
|
| 45 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 46 |
+
|
| 47 |
+
#### Speeds, Sizes, Times [optional]
|
| 48 |
+
|
| 49 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
## Evaluation
|
| 54 |
+
|
| 55 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 56 |
+
|
| 57 |
+
### Testing Data, Factors & Metrics
|
| 58 |
+
|
| 59 |
+
#### Testing Data
|
| 60 |
+
|
| 61 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
#### Factors
|
| 66 |
+
|
| 67 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
#### Metrics
|
| 72 |
+
Model Accuracy: 88%
|
| 73 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 74 |
+
|
| 75 |
+
[More Information Needed]
|
| 76 |
+
|
| 77 |
+
### Results
|
| 78 |
+
|
| 79 |
+
[More Information Needed
|
| 80 |
+
|
| 81 |
+
#### Summary
|
| 82 |
+
|
| 83 |
+
|