Ayush-thakur's workspace
Runs
57
Name
2 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
MD5
batch_size
class_names.0
class_names.1
class_names.2
class_names.3
class_names.4
class_names.5
class_names.6
class_names.7
data_flag
description
earlystopping_patience
epochs
image_channels
image_height
image_width
init_learning_rate
label.0
label.1
label.2
label.3
label.4
label.5
label.6
label.7
license
loss_fn
lr_decay_rate
metrics
model_name
n_channels
n_samples.test
n_samples.train
n_samples.val
optimizer
pretrain_weights
python_class
task
url
acc
best_epoch
best_val_loss
epoch
Finished
ayush-thakur
1m 37s
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-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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0.27962
0
1.6028
0
Finished
ayush-thakur
27s
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128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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0.2241
0
1.77985
0
Finished
ayush-thakur
36s
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128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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0.18062
0
2.02629
0
Finished
ayush-thakur
1m 56s
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128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
100
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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0.18196
0
2.00198
0
Finished
ayush-thakur
14m 46s
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128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
100
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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0.96831
34
0.14932
39
Finished
ayush-thakur
1m 17s
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128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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0.21298
0
1.64568
0
Finished
ayush-thakur
39s
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Finished
ayush-thakur
53s
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128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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-
0.18555
0
2.06046
0
Finished
ayush-thakur
30s
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-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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-
0.23372
0
1.63872
0
Finished
ayush-thakur
31s
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-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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-
0.19634
0
1.89293
0
Finished
ayush-thakur
31s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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0.18563
0
2.05811
0
Finished
ayush-thakur
54s
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-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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-
0.18772
0
1.99685
0
Finished
ayush-thakur
3m 35s
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-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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Finished
ayush-thakur
34s
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-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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-
0.21147
0
2.91032
0
Finished
ayush-thakur
12m 25s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
100
3
32
32
0.001
-
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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-
0.95761
30
0.14609
35
Finished
ayush-thakur
13m 45s
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-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
100
3
32
32
0.001
-
-
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sparse_categorical_crossentropy
0.1
["acc"]
vgg16
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adam
imagenet
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-
0.97667
33
0.10474
38
Finished
ayush-thakur
30s
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Finished
ayush-thakur
11s
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Finished
ayush-thakur
29s
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Finished
ayush-thakur
2m 7s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
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-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.17384
0
1.98482
0
Finished
ayush-thakur
35s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
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-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.267
0
2.19456
0
Finished
ayush-thakur
8m 2s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
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-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.18764
0
2.0929
0
Finished
ayush-thakur
7m 23s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
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-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.27034
0
1.68013
0
Finished
ayush-thakur
2m 30s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
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-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.1812
0
2.01686
0
Finished
ayush-thakur
8m 48s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.19742
0
1.4531
0
Finished
ayush-thakur
46s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.25454
0
1.62624
0
Finished
ayush-thakur
17m 47s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
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-
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-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.17301
0
1.90551
0
Finished
ayush-thakur
1m
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Finished
ayush-thakur
1m
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Finished
ayush-thakur
1m 24s
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Finished
ayush-thakur
21s
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Finished
ayush-thakur
6m 16s
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Finished
ayush-thakur
11s
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Finished
ayush-thakur
1h 24m 7s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.22368
0
1.53532
0
Finished
ayush-thakur
38s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.18003
0
2.0571
0
Finished
ayush-thakur
39s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.18739
0
2.05922
0
Finished
ayush-thakur
47s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.25822
0
1.61149
0
Finished
ayush-thakur
15s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.11719
0
2.29784
0
Finished
ayush-thakur
22s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.125
0
2.054
0
Finished
ayush-thakur
38s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.11719
0
5.64104
0
Finished
ayush-thakur
49s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.19441
0
2.55088
0
Finished
ayush-thakur
50s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.17894
0
2.05607
0
Finished
ayush-thakur
41s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.17677
0
1.96949
0
Finished
ayush-thakur
53s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.23238
0
1.66545
0
Finished
ayush-thakur
1m 11s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.17761
0
2.00842
0
Finished
ayush-thakur
1m 1s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.18522
0
2.05655
0
Finished
ayush-thakur
50s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.23004
0
1.70663
0
Finished
ayush-thakur
46s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.23923
0
1.64508
0
Finished
ayush-thakur
45s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.17334
0
2.00181
0
Finished
ayush-thakur
34s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.1863
0
2.0067
0
Finished
ayush-thakur
38s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.20085
0
1.87539
0
Finished
ayush-thakur
39s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
1
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.18973
0
1.82471
0
Finished
ayush-thakur
14m 29s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
100
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.96246
37
0.1371
42
Finished
ayush-thakur
13m 22s
-
-
128
basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
bloodmnist
-
5
100
3
32
32
0.001
-
-
-
-
-
-
-
-
-
sparse_categorical_crossentropy
0.1
["acc"]
efficientnetb0
-
-
-
-
adam
imagenet
-
-
-
0.95702
33
0.16529
38
Finished
ayush-thakur
13s
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
ayush-thakur
3m 1s
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Finished
ayush-thakur
3m 27s
-
7053d0359d879ad8a5505303e11de1dc
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The BloodMNIST is based on a dataset of individual normal cells, captured from individuals without infection, hematologic or oncologic disease and free of any pharmacologic treatment at the moment of blood collection. It contains a total of 17,092 images and is organized into 8 classes. We split the source dataset with a ratio of 7:1:2 into training, validation and test set. The source images with resolution 3×360×363 pixels are center-cropped into 3×200×200, and then resized into 3×28×28.
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basophil
eosinophil
erythroblast
ig
lymphocyte
monocyte
neutrophil
platelet
CC BY 4.0
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3
3421
11959
1712
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BloodMNIST
multi-class
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1-57
of 57