Tetamusha's workspace
Runs
3
State
Notes
User
Tags
Created
Runtime
Sweep
Backbone
Batch size
Dataset size
Detection head
Final LR
Initial LR
LR gamma
LR step size
Max. number of epochs
Maximum image size
Minimum image size
Number of LR updates
Number of data loader workers
Number of object classes
Number of test images
batch_size
dataset_size
lr_final
lr_gamma
lr_initial
lr_n_updates
lr_step_size
n_epochs
num_classes
num_workers
test_size
Evaluation Metrics/AP@IoU=0.50 (all)
Evaluation Metrics/AP@IoU=0.50:0.95 (all)
Evaluation Metrics/AP@IoU=0.50:0.95 (large)
Evaluation Metrics/AP@IoU=0.50:0.95 (medium)
Evaluation Metrics/AP@IoU=0.50:0.95 (small)
Evaluation Metrics/AP@IoU=0.75 (all)
Evaluation Metrics/AR@IoU=0.50:0.95 (all)
Evaluation Metrics/AR@IoU=0.50:0.95 (large)
Evaluation Metrics/AR@IoU=0.50:0.95 (medium)
Evaluation Metrics/AR@IoU=0.50:0.95 (small)
Training Metrics/bbox_regression
Training Metrics/classification
Training Metrics/loss
Training Metrics/loss_box_reg
Training Metrics/loss_classifier
Training Metrics/loss_objectness
Training Metrics/loss_rpn_box_reg
Training Metrics/lr
Finished
Faster RCNN + MobileNetV3 trained in an orange dataset with images of minimum size = 1920 px and lots of data
tetamusha
3h 39m
-
mobilenet
4
86
fasterrcnn
0.00001
0.0005
0.92474
6
300
1920
1920
50
4
2
8
-
-
-
-
-
-
-
-
-
-
-
0.46249
0.22019
0.51794
0.1529
0.00047525
0.16643
0.32424
0.59361
0.27286
0.011111
-
-
2.02388
0.32919
0.15111
0.17394
1.36963
0.000010814
Finished
Faster RCNN + MobileNetV3 trained in an orange dataset with images of minimum size = 1920 px
tetamusha
3h 35m 20s
-
mobilenet
4
86
fasterrcnn
0.00001
0.0005
0.92474
6
300
1920
1920
50
4
2
8
-
-
-
-
-
-
-
-
-
-
-
0.33259
0.13472
0.32649
0.099141
0
0.084678
0.20473
0.42778
0.15675
0
-
-
0.15332
0.10178
0.044244
0.0070676
0.00023267
0.000010814
Killed
RetinaNet + MobileNetV3 trained in an orange dataset
tetamusha
1h 45m 42s
-
mobilenet
4
86
retinanet
0.00001
0.0005
0.92474
6
300
1920
1920
50
4
2
8
-
-
-
-
-
-
-
-
-
-
-
0.26717
0.10552
0.27429
0.083455
0.0045697
0.043699
0.21237
0.41417
0.16858
0.055556
0.066203
0.027201
0.093405
-
-
-
-
0.000070711
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