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Add animal-cls-v2 (EfficientNet-Lite0, Animals-10, val_acc 0.9786) — onnx/openvino/coreml + labels

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Files changed (10) hide show
  1. animalClassification/animal-cls-v2/animal-cls-v2-labels.json +42 -0
  2. animalClassification/animal-cls-v2/coreml/animal-cls-v2-labels.json +42 -0
  3. animalClassification/animal-cls-v2/coreml/animal-cls-v2.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
  4. animalClassification/animal-cls-v2/coreml/animal-cls-v2.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
  5. animalClassification/animal-cls-v2/coreml/animal-cls-v2.mlpackage/Manifest.json +18 -0
  6. animalClassification/animal-cls-v2/onnx/animal-cls-v2-labels.json +42 -0
  7. animalClassification/animal-cls-v2/onnx/animal-cls-v2.onnx +3 -0
  8. animalClassification/animal-cls-v2/openvino/animal-cls-v2-labels.json +42 -0
  9. animalClassification/animal-cls-v2/openvino/animal-cls-v2.bin +3 -0
  10. animalClassification/animal-cls-v2/openvino/animal-cls-v2.xml +0 -0
animalClassification/animal-cls-v2/animal-cls-v2-labels.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "labels": [
3
+ "butterfly",
4
+ "cat",
5
+ "chicken",
6
+ "cow",
7
+ "dog",
8
+ "elephant",
9
+ "horse",
10
+ "sheep",
11
+ "spider",
12
+ "squirrel"
13
+ ],
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+ "input_size": 224,
15
+ "num_classes": 10,
16
+ "preprocess": {
17
+ "normalize": "imagenet",
18
+ "mean": [
19
+ 0.485,
20
+ 0.456,
21
+ 0.406
22
+ ],
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+ "std": [
24
+ 0.229,
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+ 0.224,
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+ 0.225
27
+ ],
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+ "channels": "RGB",
29
+ "layout": "NCHW"
30
+ },
31
+ "arch": "efficientnet_lite0",
32
+ "source": "Animals-10 (Alessio Corrado, ~26K imgs) via HF dgrnd4/animals-10; torchvision/timm ImageNet1K pretrained, fine-tuned",
33
+ "license": "dataset: Animals-10 (GPL-2.0 per Kaggle); weights: BSD-3 (torchvision)/Apache-2.0 (timm)",
34
+ "output": "logits (apply softmax)",
35
+ "best_val_acc": 0.9786,
36
+ "benchmark": {
37
+ "efficientnet_lite0_val_acc": 0.9786,
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+ "resnet18_val_acc": 0.9697,
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+ "chosen": "efficientnet_lite0",
40
+ "reason": "higher val acc + ~3.2x smaller than resnet18"
41
+ }
42
+ }
animalClassification/animal-cls-v2/coreml/animal-cls-v2-labels.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "labels": [
3
+ "butterfly",
4
+ "cat",
5
+ "chicken",
6
+ "cow",
7
+ "dog",
8
+ "elephant",
9
+ "horse",
10
+ "sheep",
11
+ "spider",
12
+ "squirrel"
13
+ ],
14
+ "input_size": 224,
15
+ "num_classes": 10,
16
+ "preprocess": {
17
+ "normalize": "imagenet",
18
+ "mean": [
19
+ 0.485,
20
+ 0.456,
21
+ 0.406
22
+ ],
23
+ "std": [
24
+ 0.229,
25
+ 0.224,
26
+ 0.225
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+ ],
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+ "channels": "RGB",
29
+ "layout": "NCHW"
30
+ },
31
+ "arch": "efficientnet_lite0",
32
+ "source": "Animals-10 (Alessio Corrado, ~26K imgs) via HF dgrnd4/animals-10; torchvision/timm ImageNet1K pretrained, fine-tuned",
33
+ "license": "dataset: Animals-10 (GPL-2.0 per Kaggle); weights: BSD-3 (torchvision)/Apache-2.0 (timm)",
34
+ "output": "logits (apply softmax)",
35
+ "best_val_acc": 0.9786,
36
+ "benchmark": {
37
+ "efficientnet_lite0_val_acc": 0.9786,
38
+ "resnet18_val_acc": 0.9697,
39
+ "chosen": "efficientnet_lite0",
40
+ "reason": "higher val acc + ~3.2x smaller than resnet18"
41
+ }
42
+ }
animalClassification/animal-cls-v2/coreml/animal-cls-v2.mlpackage/Data/com.apple.CoreML/model.mlmodel ADDED
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animalClassification/animal-cls-v2/coreml/animal-cls-v2.mlpackage/Manifest.json ADDED
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+ "description": "CoreML Model Weights",
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+ "name": "weights",
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+ "description": "CoreML Model Specification",
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+ "name": "model.mlmodel",
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animalClassification/animal-cls-v2/onnx/animal-cls-v2-labels.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "labels": [
3
+ "butterfly",
4
+ "cat",
5
+ "chicken",
6
+ "cow",
7
+ "dog",
8
+ "elephant",
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+ "horse",
10
+ "sheep",
11
+ "spider",
12
+ "squirrel"
13
+ ],
14
+ "input_size": 224,
15
+ "num_classes": 10,
16
+ "preprocess": {
17
+ "normalize": "imagenet",
18
+ "mean": [
19
+ 0.485,
20
+ 0.456,
21
+ 0.406
22
+ ],
23
+ "std": [
24
+ 0.229,
25
+ 0.224,
26
+ 0.225
27
+ ],
28
+ "channels": "RGB",
29
+ "layout": "NCHW"
30
+ },
31
+ "arch": "efficientnet_lite0",
32
+ "source": "Animals-10 (Alessio Corrado, ~26K imgs) via HF dgrnd4/animals-10; torchvision/timm ImageNet1K pretrained, fine-tuned",
33
+ "license": "dataset: Animals-10 (GPL-2.0 per Kaggle); weights: BSD-3 (torchvision)/Apache-2.0 (timm)",
34
+ "output": "logits (apply softmax)",
35
+ "best_val_acc": 0.9786,
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+ "benchmark": {
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+ "efficientnet_lite0_val_acc": 0.9786,
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+ "resnet18_val_acc": 0.9697,
39
+ "chosen": "efficientnet_lite0",
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+ "reason": "higher val acc + ~3.2x smaller than resnet18"
41
+ }
42
+ }
animalClassification/animal-cls-v2/onnx/animal-cls-v2.onnx ADDED
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+ oid sha256:d73f7b6c35291f9805422aa46bff57ceb171e4c7ab55dc0f2f48dccf26c3ffa6
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+ size 13487463
animalClassification/animal-cls-v2/openvino/animal-cls-v2-labels.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "labels": [
3
+ "butterfly",
4
+ "cat",
5
+ "chicken",
6
+ "cow",
7
+ "dog",
8
+ "elephant",
9
+ "horse",
10
+ "sheep",
11
+ "spider",
12
+ "squirrel"
13
+ ],
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+ "input_size": 224,
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+ "num_classes": 10,
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+ "preprocess": {
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+ "normalize": "imagenet",
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+ "mean": [
19
+ 0.485,
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+ 0.456,
21
+ 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",
29
+ "layout": "NCHW"
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+ },
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+ "arch": "efficientnet_lite0",
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+ "source": "Animals-10 (Alessio Corrado, ~26K imgs) via HF dgrnd4/animals-10; torchvision/timm ImageNet1K pretrained, fine-tuned",
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+ "license": "dataset: Animals-10 (GPL-2.0 per Kaggle); weights: BSD-3 (torchvision)/Apache-2.0 (timm)",
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+ "output": "logits (apply softmax)",
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+ "best_val_acc": 0.9786,
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+ "benchmark": {
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+ "efficientnet_lite0_val_acc": 0.9786,
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+ "resnet18_val_acc": 0.9697,
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+ "chosen": "efficientnet_lite0",
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+ "reason": "higher val acc + ~3.2x smaller than resnet18"
41
+ }
42
+ }
animalClassification/animal-cls-v2/openvino/animal-cls-v2.bin ADDED
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animalClassification/animal-cls-v2/openvino/animal-cls-v2.xml ADDED
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