Image Classification
Keras
LiteRT
TF-Keras
Safetensors
English
efficientnetv2-s
efficientnetv2
fgic
transfer-learning
gem-pooling
focal-loss
swa
grad-cam
calibration
temperature-scaling
computer-vision
tensorflow.js
Eval Results (legacy)
Instructions to use 0xgr3y/Arch-Building-Image-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 0xgr3y/Arch-Building-Image-Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://0xgr3y/Arch-Building-Image-Classification") - Notebooks
- Google Colab
- Kaggle
Upload greyscope-labs-architecture-classification-efficientnetv2.jpg
Browse files
.gitattributes
CHANGED
|
@@ -48,3 +48,4 @@ results/training_curves.png filter=lfs diff=lfs merge=lfs -text
|
|
| 48 |
results/tsne_embedding.png filter=lfs diff=lfs merge=lfs -text
|
| 49 |
results/greyscope-labs-architecture-classification-cnn-transferlearning.PNG filter=lfs diff=lfs merge=lfs -text
|
| 50 |
results/greyscope-labs-architecture-classification-transferlearning-efficientnetv2.jpg filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 48 |
results/tsne_embedding.png filter=lfs diff=lfs merge=lfs -text
|
| 49 |
results/greyscope-labs-architecture-classification-cnn-transferlearning.PNG filter=lfs diff=lfs merge=lfs -text
|
| 50 |
results/greyscope-labs-architecture-classification-transferlearning-efficientnetv2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
results/greyscope-labs-architecture-classification-efficientnetv2.jpg filter=lfs diff=lfs merge=lfs -text
|
results/greyscope-labs-architecture-classification-efficientnetv2.jpg
ADDED
|
Git LFS Details
|