commit files to HF hub

.gitattributes

@@ -37,3 +37,8 @@ images/car.jpg filter=lfs diff=lfs merge=lfs -text
 images/deer.jpg filter=lfs diff=lfs merge=lfs -text
 images/person.jpg filter=lfs diff=lfs merge=lfs -text
 images/rodent.jpg filter=lfs diff=lfs merge=lfs -text
+images/bird_in_yard.jpg filter=lfs diff=lfs merge=lfs -text
+images/deer_in_yard.jpg filter=lfs diff=lfs merge=lfs -text
+images/person_in_yard.jpg filter=lfs diff=lfs merge=lfs -text
+images/rodent_in_yard.jpg filter=lfs diff=lfs merge=lfs -text
+images/yard.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -15,7 +15,7 @@ model-index:
     metrics:
       - name: Accuracy
         type: accuracy
-        value: 0.9910714030265808
+        value: 0.7733333110809326
 ---
 
 # backyard-objects
@@ -31,22 +31,22 @@ Report any issues with the demo at the [github repo](https://github.com/nateraw/
 ## Example Images
 
 
-#### bird
+#### bird in yard
 
-![bird](images/bird.jpg)
+![bird in yard](images/bird_in_yard.jpg)
 
-#### car
+#### deer in yard
 
-![car](images/car.jpg)
+![deer in yard](images/deer_in_yard.jpg)
 
-#### deer
+#### person in yard
 
-![deer](images/deer.jpg)
+![person in yard](images/person_in_yard.jpg)
 
-#### person
+#### rodent in yard
 
-![person](images/person.jpg)
+![rodent in yard](images/rodent_in_yard.jpg)
 
-#### rodent
+#### yard
 
-![rodent](images/rodent.jpg)
+![yard](images/yard.jpg)

config.json

@@ -9,21 +9,21 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "bird",
-    "1": "car",
-    "2": "deer",
-    "3": "person",
-    "4": "rodent"
+    "0": "bird in yard",
+    "1": "deer in yard",
+    "2": "person in yard",
+    "3": "rodent in yard",
+    "4": "yard"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "bird": "0",
-    "car": "1",
-    "deer": "2",
-    "person": "3",
-    "rodent": "4"
+    "bird in yard": "0",
+    "deer in yard": "1",
+    "person in yard": "2",
+    "rodent in yard": "3",
+    "yard": "4"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:43aa31ecc3e9ec59afe2da4a4dd04a4277c2c15a825e4b765ac1717c18a3c786
 size 343275181

runs/events.out.tfevents.1685921502.e25f0440726d.222.0

@@ -0,0 +1,3 @@
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+oid sha256:6a5150c05b13ef3b3af12730cba808a824a3513e608eaf753dd7b7f165b80dd0
+size 1303