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 V16 tflite/
Browse files- tflite/label.txt +2 -0
- tflite/model.tflite +2 -2
tflite/label.txt
CHANGED
|
@@ -1,6 +1,8 @@
|
|
|
|
|
| 1 |
bridge
|
| 2 |
castle
|
| 3 |
mosque
|
| 4 |
skyscraper
|
| 5 |
stadium
|
| 6 |
temple
|
|
|
|
|
|
| 1 |
+
barn
|
| 2 |
bridge
|
| 3 |
castle
|
| 4 |
mosque
|
| 5 |
skyscraper
|
| 6 |
stadium
|
| 7 |
temple
|
| 8 |
+
windmill
|
tflite/model.tflite
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab709c6c4722a22057a9f3308e5463e55233b63273889f4f6f774367428d429b
|
| 3 |
+
size 37607784
|