Hugging Face's logo

vaivTA
/
yolov8x_doclaynet

Object Detection
TensorBoard
English
Model card Files Metrics Community
1
전원표 commited on
Commit
2ce0023
•
1 Parent(s): 31e8571

model update(yolo8x epoch50)

Browse files
Files changed (20) hide show
  1. F1_curve.png +0 -0
  2. PR_curve.png +0 -0
  3. P_curve.png +0 -0
  4. R_curve.png +0 -0
  5. confusion_matrix.png +0 -0
  6. confusion_matrix_normalized.png +0 -0
  7. events.out.tfevents.1719798681.user-System-Product-Name.16714.0 +2 -2
  8. results.csv +33 -0
  9. results.png +0 -0
  10. train_batch86480.jpg +0 -0
  11. train_batch86481.jpg +0 -0
  12. train_batch86482.jpg +0 -0
  13. val_batch0_labels.jpg +0 -0
  14. val_batch0_pred.jpg +0 -0
  15. val_batch1_labels.jpg +0 -0
  16. val_batch1_pred.jpg +0 -0
  17. val_batch2_labels.jpg +0 -0
  18. val_batch2_pred.jpg +0 -0
  19. weights/best.pt +2 -2
  20. weights/last.pt +3 -0
F1_curve.png ADDED
PR_curve.png ADDED
P_curve.png ADDED
R_curve.png ADDED
confusion_matrix.png ADDED
confusion_matrix_normalized.png ADDED
events.out.tfevents.1719798681.user-System-Product-Name.16714.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ea9d41dfbed73fc6453bf27cfb4b980f69fc66f92e6c13071bb3783f53b8747b
3
- size 5844666
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:589e0fe5351223fffd4843debe5d46272d8ad97d6f321e67805f1175f192e64e
3
+ size 16882564
results.csv CHANGED
@@ -16,3 +16,36 @@
16
  14, 0.49161, 0.5761, 0.87879, 0.75814, 0.76649, 0.74904, 0.59276, 0.72769, 0.61544, 0.85349, 0.007426, 0.007426, 0.007426
17
  15, 0.48481, 0.57075, 0.8772, 0.7582, 0.76604, 0.75008, 0.59332, 0.72953, 0.61626, 0.85369, 0.007228, 0.007228, 0.007228
18
  16, 0.47949, 0.56456, 0.87647, 0.75797, 0.76548, 0.7509, 0.5944, 0.72975, 0.61588, 0.85373, 0.00703, 0.00703, 0.00703
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16
  14, 0.49161, 0.5761, 0.87879, 0.75814, 0.76649, 0.74904, 0.59276, 0.72769, 0.61544, 0.85349, 0.007426, 0.007426, 0.007426
17
  15, 0.48481, 0.57075, 0.8772, 0.7582, 0.76604, 0.75008, 0.59332, 0.72953, 0.61626, 0.85369, 0.007228, 0.007228, 0.007228
18
  16, 0.47949, 0.56456, 0.87647, 0.75797, 0.76548, 0.7509, 0.5944, 0.72975, 0.61588, 0.85373, 0.00703, 0.00703, 0.00703
19
+ 17, 0.47352, 0.55971, 0.87513, 0.75746, 0.76702, 0.75125, 0.595, 0.72746, 0.61373, 0.85352, 0.006832, 0.006832, 0.006832
20
+ 18, 0.46938, 0.55339, 0.87264, 0.75681, 0.76697, 0.75222, 0.5957, 0.72859, 0.61336, 0.85347, 0.006634, 0.006634, 0.006634
21
+ 19, 0.46703, 0.55044, 0.87375, 0.75597, 0.76893, 0.7529, 0.59629, 0.72878, 0.61279, 0.85349, 0.006436, 0.006436, 0.006436
22
+ 20, 0.45964, 0.54439, 0.87193, 0.75562, 0.7689, 0.75296, 0.59641, 0.72816, 0.61218, 0.85343, 0.006238, 0.006238, 0.006238
23
+ 21, 0.45524, 0.54548, 0.8717, 0.75619, 0.76846, 0.75342, 0.5964, 0.73165, 0.61239, 0.85364, 0.00604, 0.00604, 0.00604
24
+ 22, 0.44944, 0.53652, 0.8692, 0.75638, 0.76788, 0.75344, 0.59629, 0.73248, 0.6125, 0.85377, 0.005842, 0.005842, 0.005842
25
+ 23, 0.44787, 0.53605, 0.86957, 0.75937, 0.76601, 0.75389, 0.59728, 0.73139, 0.61186, 0.85363, 0.005644, 0.005644, 0.005644
26
+ 24, 0.44218, 0.53098, 0.86873, 0.75823, 0.76825, 0.75507, 0.59814, 0.73027, 0.61156, 0.8535, 0.005446, 0.005446, 0.005446
27
+ 25, 0.43921, 0.52789, 0.86813, 0.76027, 0.76805, 0.75545, 0.59857, 0.73003, 0.61102, 0.85342, 0.005248, 0.005248, 0.005248
28
+ 26, 0.43284, 0.52024, 0.8668, 0.75734, 0.76863, 0.75601, 0.59874, 0.73032, 0.61079, 0.85354, 0.00505, 0.00505, 0.00505
29
+ 27, 0.43204, 0.51677, 0.86738, 0.75648, 0.76728, 0.75603, 0.59926, 0.72945, 0.61007, 0.85333, 0.004852, 0.004852, 0.004852
30
+ 28, 0.42384, 0.50959, 0.86419, 0.7586, 0.7654, 0.75695, 0.60007, 0.72838, 0.60921, 0.85301, 0.004654, 0.004654, 0.004654
31
+ 29, inf, 0.51062, 0.86441, 0.76423, 0.76027, 0.75743, 0.60064, 0.72679, 0.60837, 0.85271, 0.004456, 0.004456, 0.004456
32
+ 30, 0.41785, 0.5055, 0.86365, 0.76565, 0.76091, 0.75822, 0.60093, 0.72724, 0.60832, 0.85252, 0.004258, 0.004258, 0.004258
33
+ 31, 0.41233, 0.49753, 0.86201, 0.7684, 0.75954, 0.75888, 0.60139, 0.7264, 0.60738, 0.85238, 0.00406, 0.00406, 0.00406
34
+ 32, 0.41113, 0.49389, 0.86165, 0.76797, 0.76072, 0.75956, 0.60179, 0.72794, 0.60743, 0.85253, 0.003862, 0.003862, 0.003862
35
+ 33, 0.40719, 0.49306, 0.86198, 0.76876, 0.76234, 0.76005, 0.60174, 0.72894, 0.60778, 0.85265, 0.003664, 0.003664, 0.003664
36
+ 34, 0.40381, 0.49096, 0.86105, 0.77355, 0.75798, 0.76035, 0.60161, 0.72896, 0.60691, 0.85255, 0.003466, 0.003466, 0.003466
37
+ 35, 0.40046, 0.48625, 0.86013, 0.77436, 0.75821, 0.76082, 0.60178, 0.72881, 0.60629, 0.85244, 0.003268, 0.003268, 0.003268
38
+ 36, 0.39623, 0.48093, 0.858, 0.77593, 0.75758, 0.76128, 0.60223, 0.72793, 0.60534, 0.85201, 0.00307, 0.00307, 0.00307
39
+ 37, 0.39043, 0.47627, 0.85781, 0.77694, 0.75944, 0.76178, 0.60258, 0.72828, 0.60502, 0.85191, 0.002872, 0.002872, 0.002872
40
+ 38, 0.3868, 0.47231, 0.85797, 0.77368, 0.76175, 0.76212, 0.60301, 0.72803, 0.60478, 0.85151, 0.002674, 0.002674, 0.002674
41
+ 39, 0.38374, 0.46987, 0.85708, 0.77391, 0.76123, 0.76247, 0.60347, 0.72669, 0.60394, 0.85109, 0.002476, 0.002476, 0.002476
42
+ 40, 0.40084, 0.43504, 0.82482, 0.77444, 0.76358, 0.7632, 0.60404, 0.7265, 0.60344, 0.85103, 0.002278, 0.002278, 0.002278
43
+ 41, 0.39255, 0.42596, 0.82331, 0.77706, 0.76282, 0.76384, 0.60502, 0.72549, 0.60334, 0.8508, 0.00208, 0.00208, 0.00208
44
+ 42, 0.38811, 0.41947, 0.82142, 0.77513, 0.76436, 0.76433, 0.60592, 0.7246, 0.60276, 0.85032, 0.001882, 0.001882, 0.001882
45
+ 43, 0.38042, 0.41307, 0.81923, 0.77508, 0.76395, 0.76454, 0.6064, 0.72367, 0.60277, 0.84992, 0.001684, 0.001684, 0.001684
46
+ 44, 0.37801, 0.40512, 0.81978, 0.77412, 0.76445, 0.76469, 0.60678, 0.72189, 0.60247, 0.84954, 0.001486, 0.001486, 0.001486
47
+ 45, 0.36948, 0.39932, 0.8181, 0.77216, 0.76705, 0.76474, 0.60718, 0.7209, 0.60222, 0.84928, 0.001288, 0.001288, 0.001288
48
+ 46, 0.36484, 0.39226, 0.8171, 0.77224, 0.76764, 0.765, 0.6079, 0.72044, 0.60255, 0.84911, 0.00109, 0.00109, 0.00109
49
+ 47, 0.35899, 0.3846, 0.81585, 0.77449, 0.76596, 0.7649, 0.60813, 0.71999, 0.60284, 0.84895, 0.000892, 0.000892, 0.000892
50
+ 48, 0.35507, 0.38121, 0.81643, 0.77489, 0.76543, 0.76461, 0.60795, 0.7184, 0.6034, 0.84858, 0.000694, 0.000694, 0.000694
51
+ 49, 0.35011, 0.37525, 0.81433, 0.77438, 0.76545, 0.76442, 0.60796, 0.71745, 0.60428, 0.84834, 0.000496, 0.000496, 0.000496
results.png ADDED
train_batch86480.jpg ADDED
train_batch86481.jpg ADDED
train_batch86482.jpg ADDED
val_batch0_labels.jpg ADDED
val_batch0_pred.jpg ADDED
val_batch1_labels.jpg ADDED
val_batch1_pred.jpg ADDED
val_batch2_labels.jpg ADDED
val_batch2_pred.jpg ADDED
weights/best.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:20d12501a3fd25567bdbdf1f7b608370f4c6b36a5c1aa04299e257aaa510c048
3
- size 546173112
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30451d74436ab68a31cfeb9e8eea5557e9cfd981be42c77ffdcbb529a39d4813
3
+ size 136737999
weights/last.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:267cbdeffd70d3603ba3d0782a31fd6cf4fc3e7cb87bc50d6423db1ea493f1b9
3
+ size 136737999