Image Classification
timm
PyTorch
bdd100k-toolkit
computer-vision
autonomous-driving
self-driving-cars
driving-scenes
weather-classification
Eval Results (legacy)
Instructions to use dronefreak/bdd100k-weather-efficientformerv2_l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use dronefreak/bdd100k-weather-efficientformerv2_l with timm:
import timm model = timm.create_model("hf-hub:dronefreak/bdd100k-weather-efficientformerv2_l", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download metrics.json from dronefreak/bdd100k-weather-efficientformerv2_l: direct link, hf CLI and curl.
- Browser
- Download file 1.98 kB
-
https://huggingface.co/dronefreak/bdd100k-weather-efficientformerv2_l/resolve/main/metrics.json
- Command line
-
hf download hf://dronefreak/bdd100k-weather-efficientformerv2_l/metrics.json
-
curl -L -o metrics.json https://huggingface.co/dronefreak/bdd100k-weather-efficientformerv2_l/resolve/main/metrics.json
1.98 kB
| { | |
| "accuracy": 0.8327, | |
| "balanced_accuracy": 0.6503242813775042, | |
| "macro_precision": 0.6711687705534296, | |
| "macro_recall": 0.6503242813775042, | |
| "macro_f1": 0.6592982465936582, | |
| "per_class": { | |
| "clear": { | |
| "precision": 0.9114669611632615, | |
| "recall": 0.9263000374111485, | |
| "f1": 0.9188236385564523, | |
| "support": 5346 | |
| }, | |
| "foggy": { | |
| "precision": 0.0, | |
| "recall": 0.0, | |
| "f1": 0.0, | |
| "support": 13 | |
| }, | |
| "overcast": { | |
| "precision": 0.6638396299151889, | |
| "recall": 0.6949152542372882, | |
| "f1": 0.6790220820189274, | |
| "support": 1239 | |
| }, | |
| "partly cloudy": { | |
| "precision": 0.6909871244635193, | |
| "recall": 0.6544715447154471, | |
| "f1": 0.6722338204592903, | |
| "support": 738 | |
| }, | |
| "rainy": { | |
| "precision": 0.8482871125611745, | |
| "recall": 0.7046070460704607, | |
| "f1": 0.76980014803849, | |
| "support": 738 | |
| }, | |
| "snowy": { | |
| "precision": 0.8628005657708628, | |
| "recall": 0.7932379713914174, | |
| "f1": 0.8265582655826559, | |
| "support": 769 | |
| }, | |
| "unknown": { | |
| "precision": 0.7208, | |
| "recall": 0.7787381158167676, | |
| "f1": 0.7486497714997922, | |
| "support": 1157 | |
| } | |
| }, | |
| "top1_accuracy": 0.8327, | |
| "top5_accuracy": 0.9978, | |
| "class_names": [ | |
| "clear", | |
| "foggy", | |
| "overcast", | |
| "partly cloudy", | |
| "rainy", | |
| "snowy", | |
| "unknown" | |
| ], | |
| "confusion_matrix": [ | |
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