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animal-classifier v3 (ONNX+OpenVINO, permissive dataset) — CoreML pending

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Files changed (6) hide show
  1. animalClassification/animal-classifier/animal-classifier-labels.json +35 -0
  2. animalClassification/animal-classifier/onnx/animal-classifier-labels.json +35 -0
  3. animalClassification/animal-classifier/onnx/animal-classifier.onnx +3 -0
  4. animalClassification/animal-classifier/openvino/animal-classifier-labels.json +35 -0
  5. animalClassification/animal-classifier/openvino/animal-classifier.bin +3 -0
  6. animalClassification/animal-classifier/openvino/animal-classifier.xml +0 -0
animalClassification/animal-classifier/animal-classifier-labels.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "labels": [
3
+ "bird",
4
+ "cat",
5
+ "cow",
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+ "deer",
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+ "dog",
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+ "horse",
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+ "sheep",
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+ "squirrel"
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+ ],
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+ "input_size": 224,
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+ "num_classes": 8,
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+ "preprocess": {
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+ "normalize": "imagenet",
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+ "mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "std": [
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+ 0.229,
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+ 0.224,
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+ 0.225
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+ ],
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+ "channels": "RGB",
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+ "layout": "NCHW"
28
+ },
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+ "arch": "efficientnet_lite0",
30
+ "source": "Open Images V7 animal subset (largest-box crops per image), 8 classes; timm ImageNet1K pretrained, full fine-tune",
31
+ "dataset": "Open Images V7 (Google)",
32
+ "license": "dataset: images CC-BY 2.0 + annotations CC-BY 4.0 (permissive, commercial + redistributable with attribution); weights: Apache-2.0 (timm backbone) \u2014 publicly distributable",
33
+ "output": "logits (apply softmax)",
34
+ "best_val_acc": 0.8925
35
+ }
animalClassification/animal-classifier/onnx/animal-classifier-labels.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "labels": [
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+ "bird",
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+ "cat",
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+ "cow",
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+ "deer",
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+ "dog",
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+ "horse",
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+ "sheep",
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+ "squirrel"
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+ ],
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+ "input_size": 224,
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+ "num_classes": 8,
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+ "preprocess": {
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+ "normalize": "imagenet",
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+ "mean": [
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+ 0.485,
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+ 0.456,
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+ 0.406
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+ ],
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+ "std": [
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+ 0.229,
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+ 0.224,
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+ 0.225
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+ ],
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+ "channels": "RGB",
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+ "layout": "NCHW"
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+ },
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+ "arch": "efficientnet_lite0",
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+ "source": "Open Images V7 animal subset (largest-box crops per image), 8 classes; timm ImageNet1K pretrained, full fine-tune",
31
+ "dataset": "Open Images V7 (Google)",
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+ "license": "dataset: images CC-BY 2.0 + annotations CC-BY 4.0 (permissive, commercial + redistributable with attribution); weights: Apache-2.0 (timm backbone) \u2014 publicly distributable",
33
+ "output": "logits (apply softmax)",
34
+ "best_val_acc": 0.8925
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+ }
animalClassification/animal-classifier/onnx/animal-classifier.onnx ADDED
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+ size 13477185
animalClassification/animal-classifier/openvino/animal-classifier-labels.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "labels": [
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+ "bird",
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+ "cat",
5
+ "cow",
6
+ "deer",
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+ "dog",
8
+ "horse",
9
+ "sheep",
10
+ "squirrel"
11
+ ],
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+ "input_size": 224,
13
+ "num_classes": 8,
14
+ "preprocess": {
15
+ "normalize": "imagenet",
16
+ "mean": [
17
+ 0.485,
18
+ 0.456,
19
+ 0.406
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+ ],
21
+ "std": [
22
+ 0.229,
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+ 0.224,
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+ 0.225
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+ ],
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+ "channels": "RGB",
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+ "layout": "NCHW"
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+ },
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+ "arch": "efficientnet_lite0",
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+ "source": "Open Images V7 animal subset (largest-box crops per image), 8 classes; timm ImageNet1K pretrained, full fine-tune",
31
+ "dataset": "Open Images V7 (Google)",
32
+ "license": "dataset: images CC-BY 2.0 + annotations CC-BY 4.0 (permissive, commercial + redistributable with attribution); weights: Apache-2.0 (timm backbone) \u2014 publicly distributable",
33
+ "output": "logits (apply softmax)",
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+ "best_val_acc": 0.8925
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+ }
animalClassification/animal-classifier/openvino/animal-classifier.bin ADDED
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+ size 6722528
animalClassification/animal-classifier/openvino/animal-classifier.xml ADDED
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