Upload 1455 files
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +2 -0
- Car_License_Plates-2/README.dataset.txt +6 -0
- Car_License_Plates-2/README.roboflow.txt +32 -0
- Car_License_Plates-2/Screen_Recording_20250915_165529.avi +3 -0
- Car_License_Plates-2/Screen_Recording_20250915_165529.mp4 +3 -0
- Car_License_Plates-2/data.yaml +12 -0
- Car_License_Plates-2/isegment_output.mp4 +3 -0
- Car_License_Plates-2/runs/detect/train/BoxF1_curve.png +3 -0
- Car_License_Plates-2/runs/detect/train/BoxPR_curve.png +3 -0
- Car_License_Plates-2/runs/detect/train/BoxP_curve.png +3 -0
- Car_License_Plates-2/runs/detect/train/BoxR_curve.png +3 -0
- Car_License_Plates-2/runs/detect/train/args.yaml +106 -0
- Car_License_Plates-2/runs/detect/train/confusion_matrix.png +3 -0
- Car_License_Plates-2/runs/detect/train/confusion_matrix_normalized.png +3 -0
- Car_License_Plates-2/runs/detect/train/labels.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/results.csv +121 -0
- Car_License_Plates-2/runs/detect/train/results.png +3 -0
- Car_License_Plates-2/runs/detect/train/train_batch0.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/train_batch1.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/train_batch2.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/train_batch4290.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/train_batch4291.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/train_batch4292.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/val_batch0_labels.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/val_batch0_pred.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/val_batch1_labels.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/val_batch1_pred.jpg +3 -0
- Car_License_Plates-2/runs/detect/train/weights/best.pt +3 -0
- Car_License_Plates-2/runs/detect/train/weights/last.pt +3 -0
- Car_License_Plates-2/test/images/Cars102_png.rf.fb7edb268f3d11a61f7ed08bd6e54de0.jpg +3 -0
- Car_License_Plates-2/test/images/Cars121_png.rf.7b6138a160067a7cc0ef1dd23a6a0cb0.jpg +3 -0
- Car_License_Plates-2/test/images/Cars125_png.rf.ebe3f79536bd17c2bdf068b78a72948d.jpg +3 -0
- Car_License_Plates-2/test/images/Cars129_png.rf.c1ba8ba8fbe953fe0ce67e7fb7aa06e1.jpg +3 -0
- Car_License_Plates-2/test/images/Cars142_png.rf.dd66cd718073d9a3a924c53c51e3870d.jpg +3 -0
- Car_License_Plates-2/test/images/Cars151_png.rf.46890621e845f26235a74d561d2d0168.jpg +3 -0
- Car_License_Plates-2/test/images/Cars155_png.rf.5a1aef08b9597c1896c90a35d1c8c050.jpg +3 -0
- Car_License_Plates-2/test/images/Cars164_png.rf.30200f4e1c890d5f90bc9894c5d40884.jpg +3 -0
- Car_License_Plates-2/test/images/Cars194_png.rf.97d695fe258e80e9e2bc832d5f444ccc.jpg +3 -0
- Car_License_Plates-2/test/images/Cars206_png.rf.c34ade1d2cbc3a28a12e76eca7b96cc9.jpg +3 -0
- Car_License_Plates-2/test/images/Cars213_png.rf.b61f30474d45eab77bc1eab0206bc870.jpg +3 -0
- Car_License_Plates-2/test/images/Cars228_png.rf.aa135e657a1c97592b928c949b784cd6.jpg +3 -0
- Car_License_Plates-2/test/images/Cars229_png.rf.9b31a0364f4913c5d73067ef9a18144b.jpg +3 -0
- Car_License_Plates-2/test/images/Cars233_png.rf.fd301b99398de096ba9556a7d9bf5969.jpg +3 -0
- Car_License_Plates-2/test/images/Cars243_png.rf.1e20012399a67a46554af8d96910b466.jpg +3 -0
- Car_License_Plates-2/test/images/Cars262_png.rf.70ea402641a891a1ea32a31b52484697.jpg +3 -0
- Car_License_Plates-2/test/images/Cars272_png.rf.89dc811802ebce177209f06781fb87f5.jpg +3 -0
- Car_License_Plates-2/test/images/Cars277_png.rf.a914f74312ba303130e581bcfd0688df.jpg +3 -0
- Car_License_Plates-2/test/images/Cars280_png.rf.de3e3b1aaa9490d7b9c47759f3a5c83c.jpg +3 -0
- Car_License_Plates-2/test/images/Cars290_png.rf.69aeaf48b31be394a75854ba075ea243.jpg +3 -0
- Car_License_Plates-2/test/images/Cars292_png.rf.d60465dccf4a55a630bc071b26bf5165.jpg +3 -0
.gitattributes
CHANGED
|
@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 57 |
# Video files - compressed
|
| 58 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 59 |
*.webm filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
| 57 |
# Video files - compressed
|
| 58 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 59 |
*.webm filter=lfs diff=lfs merge=lfs -text
|
| 60 |
+
Car_License_Plates-2/Screen_Recording_20250915_165529.avi filter=lfs diff=lfs merge=lfs -text
|
| 61 |
+
Car_License_Plates-2/train/labels.cache filter=lfs diff=lfs merge=lfs -text
|
Car_License_Plates-2/README.dataset.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Car_License_Plates > 2022-11-12 9:54pm
|
| 2 |
+
https://universe.roboflow.com/moin/car_license_plates
|
| 3 |
+
|
| 4 |
+
Provided by a Roboflow user
|
| 5 |
+
License: CC BY 4.0
|
| 6 |
+
|
Car_License_Plates-2/README.roboflow.txt
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
Car_License_Plates - v2 2022-11-12 9:54pm
|
| 3 |
+
==============================
|
| 4 |
+
|
| 5 |
+
This dataset was exported via roboflow.com on February 17, 2023 at 4:36 AM GMT
|
| 6 |
+
|
| 7 |
+
Roboflow is an end-to-end computer vision platform that helps you
|
| 8 |
+
* collaborate with your team on computer vision projects
|
| 9 |
+
* collect & organize images
|
| 10 |
+
* understand and search unstructured image data
|
| 11 |
+
* annotate, and create datasets
|
| 12 |
+
* export, train, and deploy computer vision models
|
| 13 |
+
* use active learning to improve your dataset over time
|
| 14 |
+
|
| 15 |
+
For state of the art Computer Vision training notebooks you can use with this dataset,
|
| 16 |
+
visit https://github.com/roboflow/notebooks
|
| 17 |
+
|
| 18 |
+
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
|
| 19 |
+
|
| 20 |
+
The dataset includes 712 images.
|
| 21 |
+
Objectdetection are annotated in YOLOv8 format.
|
| 22 |
+
|
| 23 |
+
The following pre-processing was applied to each image:
|
| 24 |
+
* Auto-orientation of pixel data (with EXIF-orientation stripping)
|
| 25 |
+
* Resize to 640x640 (Stretch)
|
| 26 |
+
* Grayscale (CRT phosphor)
|
| 27 |
+
|
| 28 |
+
The following augmentation was applied to create 3 versions of each source image:
|
| 29 |
+
* Randomly crop between 0 and 20 percent of the image
|
| 30 |
+
* Random brigthness adjustment of between -25 and +25 percent
|
| 31 |
+
|
| 32 |
+
|
Car_License_Plates-2/Screen_Recording_20250915_165529.avi
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40e7b7e51a9ffb9e51d54f109466655cb2662f4d93a5d56310513cf214ff9e5a
|
| 3 |
+
size 759356196
|
Car_License_Plates-2/Screen_Recording_20250915_165529.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8d7d9e63233653091881cf964e8cda164ac26e38d50ccdb3aabc8fecb5d8f09a
|
| 3 |
+
size 57438104
|
Car_License_Plates-2/data.yaml
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
names:
|
| 2 |
+
- licence
|
| 3 |
+
nc: 1
|
| 4 |
+
roboflow:
|
| 5 |
+
license: CC BY 4.0
|
| 6 |
+
project: car_license_plates
|
| 7 |
+
url: https://universe.roboflow.com/moin/car_license_plates/dataset/2
|
| 8 |
+
version: 2
|
| 9 |
+
workspace: moin
|
| 10 |
+
test: ../test/images
|
| 11 |
+
train: ../train/images
|
| 12 |
+
val: ../valid/images
|
Car_License_Plates-2/isegment_output.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a061929abb0b7fda2790e41a2de4641a00d1580df09d8a96a3395f85c3f40c7
|
| 3 |
+
size 1823873
|
Car_License_Plates-2/runs/detect/train/BoxF1_curve.png
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/BoxPR_curve.png
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/BoxP_curve.png
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/BoxR_curve.png
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/args.yaml
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: /content/drive/MyDrive/Colab_Notebooks/yolov10/weights/yolov10n.pt
|
| 4 |
+
data: /content/drive/MyDrive/Colab_Notebooks/yolov10/Car_License_Plates-2/data.yaml
|
| 5 |
+
epochs: 120
|
| 6 |
+
time: null
|
| 7 |
+
patience: 100
|
| 8 |
+
batch: 16
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
|
| 11 |
+
save_period: -1
|
| 12 |
+
cache: false
|
| 13 |
+
device: null
|
| 14 |
+
workers: 8
|
| 15 |
+
project: null
|
| 16 |
+
name: train
|
| 17 |
+
exist_ok: false
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: auto
|
| 20 |
+
verbose: true
|
| 21 |
+
seed: 0
|
| 22 |
+
deterministic: true
|
| 23 |
+
single_cls: false
|
| 24 |
+
rect: false
|
| 25 |
+
cos_lr: false
|
| 26 |
+
close_mosaic: 10
|
| 27 |
+
resume: false
|
| 28 |
+
amp: true
|
| 29 |
+
fraction: 1.0
|
| 30 |
+
profile: false
|
| 31 |
+
freeze: null
|
| 32 |
+
multi_scale: false
|
| 33 |
+
compile: false
|
| 34 |
+
overlap_mask: true
|
| 35 |
+
mask_ratio: 4
|
| 36 |
+
dropout: 0.0
|
| 37 |
+
val: true
|
| 38 |
+
split: val
|
| 39 |
+
save_json: false
|
| 40 |
+
conf: null
|
| 41 |
+
iou: 0.7
|
| 42 |
+
max_det: 300
|
| 43 |
+
half: false
|
| 44 |
+
dnn: false
|
| 45 |
+
plots: true
|
| 46 |
+
source: null
|
| 47 |
+
vid_stride: 1
|
| 48 |
+
stream_buffer: false
|
| 49 |
+
visualize: false
|
| 50 |
+
augment: false
|
| 51 |
+
agnostic_nms: false
|
| 52 |
+
classes: null
|
| 53 |
+
retina_masks: false
|
| 54 |
+
embed: null
|
| 55 |
+
show: false
|
| 56 |
+
save_frames: false
|
| 57 |
+
save_txt: false
|
| 58 |
+
save_conf: false
|
| 59 |
+
save_crop: false
|
| 60 |
+
show_labels: true
|
| 61 |
+
show_conf: true
|
| 62 |
+
show_boxes: true
|
| 63 |
+
line_width: null
|
| 64 |
+
format: torchscript
|
| 65 |
+
keras: false
|
| 66 |
+
optimize: false
|
| 67 |
+
int8: false
|
| 68 |
+
dynamic: false
|
| 69 |
+
simplify: true
|
| 70 |
+
opset: null
|
| 71 |
+
workspace: null
|
| 72 |
+
nms: false
|
| 73 |
+
lr0: 0.01
|
| 74 |
+
lrf: 0.01
|
| 75 |
+
momentum: 0.937
|
| 76 |
+
weight_decay: 0.0005
|
| 77 |
+
warmup_epochs: 3.0
|
| 78 |
+
warmup_momentum: 0.8
|
| 79 |
+
warmup_bias_lr: 0.1
|
| 80 |
+
box: 7.5
|
| 81 |
+
cls: 0.5
|
| 82 |
+
dfl: 1.5
|
| 83 |
+
pose: 12.0
|
| 84 |
+
kobj: 1.0
|
| 85 |
+
nbs: 64
|
| 86 |
+
hsv_h: 0.015
|
| 87 |
+
hsv_s: 0.7
|
| 88 |
+
hsv_v: 0.4
|
| 89 |
+
degrees: 0.0
|
| 90 |
+
translate: 0.1
|
| 91 |
+
scale: 0.5
|
| 92 |
+
shear: 0.0
|
| 93 |
+
perspective: 0.0
|
| 94 |
+
flipud: 0.0
|
| 95 |
+
fliplr: 0.5
|
| 96 |
+
bgr: 0.0
|
| 97 |
+
mosaic: 1.0
|
| 98 |
+
mixup: 0.0
|
| 99 |
+
cutmix: 0.0
|
| 100 |
+
copy_paste: 0.0
|
| 101 |
+
copy_paste_mode: flip
|
| 102 |
+
auto_augment: randaugment
|
| 103 |
+
erasing: 0.4
|
| 104 |
+
cfg: null
|
| 105 |
+
tracker: botsort.yaml
|
| 106 |
+
save_dir: /content/runs/detect/train
|
Car_License_Plates-2/runs/detect/train/confusion_matrix.png
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/confusion_matrix_normalized.png
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/labels.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/results.csv
ADDED
|
@@ -0,0 +1,121 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
|
| 2 |
+
1,60.7725,3.06441,10.6787,2.72668,0.00245,0.69118,0.07989,0.03776,2.90388,13.4187,2.70546,0.000649573,0.000649573,0.000649573
|
| 3 |
+
2,75.0629,3.23441,8.54253,2.75764,0.44036,0.08824,0.13386,0.04562,4.15794,14.2585,5.16063,0.00130538,0.00130538,0.00130538
|
| 4 |
+
3,89.2691,3.43561,7.07679,2.86576,0.25287,0.13235,0.13658,0.0599,3.78949,28.034,3.33716,0.00195019,0.00195019,0.00195019
|
| 5 |
+
4,104.069,3.46065,5.95865,2.92397,0.00247,0.52941,0.00375,0.00096,5.73088,7.10567,6.95624,0.0019505,0.0019505,0.0019505
|
| 6 |
+
5,118.597,3.25974,4.8614,2.79511,0.70042,0.37829,0.4267,0.18149,3.70343,7.45663,3.69391,0.001934,0.001934,0.001934
|
| 7 |
+
6,135.315,3.29115,4.27851,2.86776,0.59496,0.22059,0.20634,0.10365,4.04775,15.479,3.66843,0.0019175,0.0019175,0.0019175
|
| 8 |
+
7,150.344,3.26236,3.92198,2.8666,0.39734,0.29092,0.20871,0.0745,3.82965,5.49599,3.48473,0.001901,0.001901,0.001901
|
| 9 |
+
8,164.774,3.27491,3.52222,2.78953,0.5431,0.5,0.49963,0.24149,3.59348,4.12765,3.15637,0.0018845,0.0018845,0.0018845
|
| 10 |
+
9,179.135,3.1796,3.30323,2.72695,0.55376,0.58401,0.60973,0.28792,3.48762,3.67766,3.05567,0.001868,0.001868,0.001868
|
| 11 |
+
10,193.97,3.16895,3.05101,2.6956,0.67476,0.55882,0.63641,0.32208,3.22485,2.96715,2.7879,0.0018515,0.0018515,0.0018515
|
| 12 |
+
11,208.28,3.21535,2.974,2.73299,0.76425,0.5721,0.59744,0.29917,3.34425,3.76954,2.95747,0.001835,0.001835,0.001835
|
| 13 |
+
12,222.762,3.02847,2.69024,2.66431,0.64169,0.60578,0.65708,0.34271,3.21127,2.74493,2.90031,0.0018185,0.0018185,0.0018185
|
| 14 |
+
13,237.09,3.07186,2.69922,2.67802,0.44019,0.48529,0.43862,0.22604,3.62636,5.54516,3.40164,0.001802,0.001802,0.001802
|
| 15 |
+
14,251.547,3.04946,2.6399,2.6555,0.65877,0.59626,0.58162,0.29551,3.51141,2.84907,3.075,0.0017855,0.0017855,0.0017855
|
| 16 |
+
15,266.217,3.03534,2.53847,2.64402,0.68129,0.59735,0.66074,0.35797,3.22808,2.66292,2.91969,0.001769,0.001769,0.001769
|
| 17 |
+
16,280.593,2.96267,2.47456,2.64413,0.77517,0.55882,0.71711,0.39189,3.32919,2.36257,3.03654,0.0017525,0.0017525,0.0017525
|
| 18 |
+
17,295.443,2.94761,2.39307,2.60351,0.62166,0.57999,0.64894,0.36847,3.0991,2.43046,2.85077,0.001736,0.001736,0.001736
|
| 19 |
+
18,309.549,3.02533,2.37537,2.62936,0.65961,0.66176,0.66399,0.32805,3.40115,2.5995,2.98545,0.0017195,0.0017195,0.0017195
|
| 20 |
+
19,326.054,2.9041,2.2264,2.54894,0.70829,0.72059,0.714,0.37266,3.25824,2.4831,3.12059,0.001703,0.001703,0.001703
|
| 21 |
+
20,340.562,2.92493,2.26707,2.57137,0.76471,0.62139,0.73952,0.35826,3.42928,2.55235,3.12031,0.0016865,0.0016865,0.0016865
|
| 22 |
+
21,355.013,2.84019,2.26343,2.49904,0.79139,0.57353,0.73072,0.39982,3.16727,2.52864,2.78679,0.00167,0.00167,0.00167
|
| 23 |
+
22,369.698,2.80986,2.20031,2.55088,0.73603,0.70588,0.75492,0.36102,3.36549,2.50596,2.88522,0.0016535,0.0016535,0.0016535
|
| 24 |
+
23,384.271,2.81485,2.10978,2.52048,0.73004,0.63634,0.72167,0.40663,3.10817,2.2044,2.89527,0.001637,0.001637,0.001637
|
| 25 |
+
24,398.924,2.8635,2.09661,2.54349,0.69141,0.67647,0.70261,0.40237,3.37378,2.37187,3.00473,0.0016205,0.0016205,0.0016205
|
| 26 |
+
25,413.134,2.77937,2.11046,2.48417,0.9235,0.54412,0.73254,0.37196,3.40097,2.51458,3.06394,0.001604,0.001604,0.001604
|
| 27 |
+
26,427.893,2.71316,2.01117,2.45897,0.73551,0.72059,0.78374,0.37283,3.39559,2.20358,2.97773,0.0015875,0.0015875,0.0015875
|
| 28 |
+
27,442.319,2.73397,1.9863,2.44638,0.72057,0.67647,0.74597,0.37533,3.31913,2.15179,2.94827,0.001571,0.001571,0.001571
|
| 29 |
+
28,456.818,2.74908,2.03031,2.47371,0.72993,0.58824,0.67188,0.36017,3.34467,2.52147,2.94052,0.0015545,0.0015545,0.0015545
|
| 30 |
+
29,471.356,2.69745,1.91569,2.41772,0.67177,0.66215,0.72649,0.38636,3.14566,2.2952,2.84115,0.001538,0.001538,0.001538
|
| 31 |
+
30,485.591,2.60017,1.80315,2.40135,0.87397,0.61197,0.78254,0.42767,3.20197,2.00396,2.85848,0.0015215,0.0015215,0.0015215
|
| 32 |
+
31,500.31,2.64789,1.8953,2.45542,0.63672,0.75,0.78624,0.41572,3.47661,1.98132,2.96849,0.001505,0.001505,0.001505
|
| 33 |
+
32,514.725,2.56288,1.80227,2.39084,0.77761,0.72059,0.77633,0.40478,3.37935,2.0715,3.05149,0.0014885,0.0014885,0.0014885
|
| 34 |
+
33,531.015,2.69253,1.9103,2.44599,0.70619,0.69118,0.76749,0.43485,3.10537,2.10427,2.72428,0.001472,0.001472,0.001472
|
| 35 |
+
34,545.875,2.48944,1.69495,2.32687,0.77808,0.69118,0.77102,0.42124,3.17428,2.14401,2.94734,0.0014555,0.0014555,0.0014555
|
| 36 |
+
35,559.964,2.545,1.75691,2.38334,0.7236,0.73529,0.76257,0.40894,3.19454,2.0301,2.87132,0.001439,0.001439,0.001439
|
| 37 |
+
36,574.279,2.51473,1.73794,2.39092,0.70425,0.66176,0.73578,0.38512,3.21382,2.04086,2.90915,0.0014225,0.0014225,0.0014225
|
| 38 |
+
37,589.026,2.45829,1.69581,2.34528,0.81969,0.73539,0.81869,0.43762,3.32578,1.8817,2.98414,0.001406,0.001406,0.001406
|
| 39 |
+
38,603.753,2.43796,1.65649,2.36213,0.81469,0.71123,0.80786,0.46164,3.33448,1.90673,3.04,0.0013895,0.0013895,0.0013895
|
| 40 |
+
39,618.539,2.44041,1.62977,2.31397,0.83073,0.67647,0.76987,0.41502,3.27983,2.41831,2.99962,0.001373,0.001373,0.001373
|
| 41 |
+
40,632.633,2.36061,1.58861,2.29266,0.74787,0.65439,0.7347,0.36535,3.52481,2.55946,3.14,0.0013565,0.0013565,0.0013565
|
| 42 |
+
41,647.348,2.41777,1.59872,2.32983,0.8187,0.66413,0.78921,0.43796,3.17941,1.99855,2.96974,0.00134,0.00134,0.00134
|
| 43 |
+
42,661.933,2.41509,1.61347,2.30336,0.81153,0.7599,0.82279,0.44314,3.23783,1.9378,2.92503,0.0013235,0.0013235,0.0013235
|
| 44 |
+
43,676.619,2.34034,1.54764,2.27831,0.79865,0.70004,0.78937,0.43876,3.24842,1.96307,2.96343,0.001307,0.001307,0.001307
|
| 45 |
+
44,691.342,2.30566,1.52712,2.27125,0.73476,0.76471,0.78182,0.43739,3.18985,1.93884,2.95033,0.0012905,0.0012905,0.0012905
|
| 46 |
+
45,705.939,2.3458,1.52767,2.3075,0.78824,0.76471,0.7951,0.40765,3.33809,1.96961,3.04321,0.001274,0.001274,0.001274
|
| 47 |
+
46,721.923,2.31348,1.48132,2.27406,0.90033,0.66421,0.80277,0.44676,3.13747,2.076,3.02864,0.0012575,0.0012575,0.0012575
|
| 48 |
+
47,736.976,2.25761,1.47882,2.24226,0.83187,0.72059,0.7714,0.43153,3.1894,1.96756,2.93349,0.001241,0.001241,0.001241
|
| 49 |
+
48,751.223,2.22763,1.36956,2.22736,0.90111,0.67009,0.83015,0.45091,3.24849,2.02062,2.94252,0.0012245,0.0012245,0.0012245
|
| 50 |
+
49,766.273,2.25856,1.48941,2.25324,0.8317,0.79944,0.88574,0.51019,2.98987,1.60142,2.8149,0.001208,0.001208,0.001208
|
| 51 |
+
50,780.391,2.14783,1.37992,2.20534,0.82442,0.79412,0.89509,0.46877,3.11478,1.62379,2.81569,0.0011915,0.0011915,0.0011915
|
| 52 |
+
51,795.316,2.15209,1.36693,2.17543,0.82967,0.78803,0.84578,0.43208,3.42184,1.76344,3.10489,0.001175,0.001175,0.001175
|
| 53 |
+
52,809.087,2.14761,1.34819,2.16414,0.80648,0.75,0.82805,0.45016,3.24899,1.84264,2.89811,0.0011585,0.0011585,0.0011585
|
| 54 |
+
53,823.801,2.08639,1.35695,2.13868,0.73089,0.70588,0.74914,0.42965,3.26237,1.92533,2.94244,0.001142,0.001142,0.001142
|
| 55 |
+
54,838.826,2.00344,1.26895,2.10215,0.7397,0.70588,0.80997,0.46964,3.19804,1.78204,2.90288,0.0011255,0.0011255,0.0011255
|
| 56 |
+
55,853.389,2.04263,1.31187,2.12126,0.90512,0.70151,0.81891,0.49636,2.96136,1.67724,2.71341,0.001109,0.001109,0.001109
|
| 57 |
+
56,867.68,2.0784,1.35726,2.15728,0.90889,0.70588,0.86081,0.46457,3.24584,1.72832,2.91514,0.0010925,0.0010925,0.0010925
|
| 58 |
+
57,881.844,2.01245,1.30612,2.12664,0.76837,0.78052,0.83367,0.50028,3.06115,1.76061,2.8782,0.001076,0.001076,0.001076
|
| 59 |
+
58,896.308,2.05171,1.27144,2.12567,0.9101,0.74446,0.84337,0.50348,3.0278,1.80246,2.85894,0.0010595,0.0010595,0.0010595
|
| 60 |
+
59,911.116,2.00072,1.2422,2.11786,0.80226,0.80882,0.82983,0.47205,3.26168,1.78302,2.94696,0.001043,0.001043,0.001043
|
| 61 |
+
60,925.714,1.99436,1.22784,2.10689,0.79477,0.75,0.82608,0.45221,3.26501,1.91931,2.98735,0.0010265,0.0010265,0.0010265
|
| 62 |
+
61,941.221,1.95716,1.23261,2.10707,0.8846,0.80882,0.88729,0.4725,3.10924,1.70943,2.92798,0.00101,0.00101,0.00101
|
| 63 |
+
62,954.907,1.94344,1.21027,2.08126,0.87212,0.76471,0.83614,0.48819,3.03413,1.7237,2.90964,0.0009935,0.0009935,0.0009935
|
| 64 |
+
63,968.831,1.88928,1.22472,2.06161,0.79545,0.74352,0.80784,0.44695,3.20704,1.75516,3.04499,0.000977,0.000977,0.000977
|
| 65 |
+
64,983.181,1.87174,1.14838,2.03866,0.82868,0.73529,0.80523,0.46491,3.166,1.76695,2.99064,0.0009605,0.0009605,0.0009605
|
| 66 |
+
65,998.161,1.8953,1.15148,2.05697,0.84047,0.69734,0.79977,0.4539,3.21847,1.87599,3.07975,0.000944,0.000944,0.000944
|
| 67 |
+
66,1012.32,1.89401,1.20655,2.08376,0.78759,0.72059,0.79048,0.44684,3.23156,1.8203,3.0937,0.0009275,0.0009275,0.0009275
|
| 68 |
+
67,1026.46,1.86313,1.19354,2.08247,0.86132,0.70588,0.80226,0.45935,3.21084,1.88035,2.97174,0.000911,0.000911,0.000911
|
| 69 |
+
68,1041.66,1.83506,1.13341,2.05707,0.85842,0.69118,0.78143,0.45838,3.09754,2.02039,2.89278,0.0008945,0.0008945,0.0008945
|
| 70 |
+
69,1055.29,1.81793,1.19254,2.02526,0.77251,0.69118,0.79623,0.44511,3.33856,2.00429,3.08184,0.000878,0.000878,0.000878
|
| 71 |
+
70,1069.78,1.761,1.07406,2.00888,0.82244,0.75,0.80379,0.45835,3.16945,1.90669,3.04794,0.0008615,0.0008615,0.0008615
|
| 72 |
+
71,1083.83,1.75635,1.03748,2.02122,0.83686,0.73529,0.83645,0.48309,2.96676,1.7813,2.86803,0.000845,0.000845,0.000845
|
| 73 |
+
72,1098.29,1.80668,1.12409,2.04694,0.83965,0.75,0.80885,0.51722,2.93699,1.74871,2.83566,0.0008285,0.0008285,0.0008285
|
| 74 |
+
73,1115.36,1.74104,1.08147,2.00796,0.86829,0.77561,0.85707,0.47454,3.16763,1.71592,2.91331,0.000812,0.000812,0.000812
|
| 75 |
+
74,1129.55,1.68342,1.04699,1.99813,0.70703,0.80882,0.79845,0.46499,3.15326,1.68632,2.94105,0.0007955,0.0007955,0.0007955
|
| 76 |
+
75,1144.02,1.66947,1.0648,1.98637,0.8749,0.75,0.86251,0.48975,3.10861,1.50254,3.00288,0.000779,0.000779,0.000779
|
| 77 |
+
76,1158.11,1.7441,1.0774,1.98508,0.92574,0.73332,0.85704,0.47201,3.24918,1.90448,3.01598,0.0007625,0.0007625,0.0007625
|
| 78 |
+
77,1172.57,1.63748,1.0212,1.99019,0.84645,0.72969,0.85089,0.48433,3.11468,1.66593,2.93434,0.000746,0.000746,0.000746
|
| 79 |
+
78,1187.8,1.66587,1.04194,1.98256,0.83324,0.80828,0.89171,0.50055,3.09854,1.58762,2.9182,0.0007295,0.0007295,0.0007295
|
| 80 |
+
79,1201.72,1.59542,1.02238,1.9488,0.83746,0.77941,0.8467,0.49678,3.09875,1.51037,2.92764,0.000713,0.000713,0.000713
|
| 81 |
+
80,1216.03,1.63531,1.01166,1.95438,0.87403,0.82353,0.8995,0.50326,3.08398,1.50753,2.94481,0.0006965,0.0006965,0.0006965
|
| 82 |
+
81,1230.67,1.61756,1.01069,1.94813,0.8132,0.8323,0.86464,0.49782,3.11372,1.57511,2.94852,0.00068,0.00068,0.00068
|
| 83 |
+
82,1245.17,1.67026,1.01908,1.97963,0.89786,0.72059,0.84793,0.47865,3.2928,1.71325,3.06937,0.0006635,0.0006635,0.0006635
|
| 84 |
+
83,1259.39,1.5822,0.97566,1.93489,0.92849,0.67647,0.79311,0.49519,3.15855,1.62384,2.995,0.000647,0.000647,0.000647
|
| 85 |
+
84,1273.94,1.60506,1.01634,1.95186,0.90315,0.68574,0.80282,0.46439,3.10791,1.90593,2.95728,0.0006305,0.0006305,0.0006305
|
| 86 |
+
85,1287.92,1.56001,0.99254,1.933,0.93509,0.67647,0.85899,0.4937,3.02479,1.6099,2.86779,0.000614,0.000614,0.000614
|
| 87 |
+
86,1302.45,1.5472,0.96584,1.95713,0.83261,0.79412,0.87328,0.50257,3.0132,1.56038,2.80969,0.0005975,0.0005975,0.0005975
|
| 88 |
+
87,1318.26,1.52048,0.95139,1.93193,0.89541,0.75547,0.86964,0.48292,3.13169,1.58333,2.8984,0.000581,0.000581,0.000581
|
| 89 |
+
88,1332.91,1.55687,0.95819,1.92508,0.81585,0.79412,0.84133,0.48865,3.08649,1.63754,2.91051,0.0005645,0.0005645,0.0005645
|
| 90 |
+
89,1346.83,1.50267,0.95501,1.91599,0.96482,0.72059,0.85085,0.47976,3.15249,1.87905,2.93798,0.000548,0.000548,0.000548
|
| 91 |
+
90,1361.27,1.48802,0.87375,1.88723,0.8253,0.73529,0.83571,0.48096,3.07776,1.63745,2.93464,0.0005315,0.0005315,0.0005315
|
| 92 |
+
91,1375.89,1.47706,0.95738,1.89821,0.91232,0.75,0.8827,0.50023,3.08583,1.51051,2.91936,0.000515,0.000515,0.000515
|
| 93 |
+
92,1389.97,1.45824,0.93849,1.91784,0.80346,0.78154,0.83405,0.45811,3.21503,1.76348,3.0276,0.0004985,0.0004985,0.0004985
|
| 94 |
+
93,1404.09,1.42789,0.87487,1.8936,0.85884,0.80882,0.86264,0.48282,3.15588,1.66359,2.97927,0.000482,0.000482,0.000482
|
| 95 |
+
94,1418.59,1.47523,0.89562,1.89264,0.88393,0.78397,0.88126,0.47942,3.14633,1.6894,2.88165,0.0004655,0.0004655,0.0004655
|
| 96 |
+
95,1433.06,1.43351,0.91409,1.87424,0.83827,0.80882,0.88254,0.5133,3.08271,1.5342,2.89417,0.000449,0.000449,0.000449
|
| 97 |
+
96,1447.34,1.43784,0.86835,1.8846,0.71502,0.80882,0.84343,0.47334,3.11545,1.6406,2.93304,0.0004325,0.0004325,0.0004325
|
| 98 |
+
97,1461.74,1.40465,0.89211,1.87146,0.84364,0.79412,0.87572,0.51948,2.98104,1.49939,2.87715,0.000416,0.000416,0.000416
|
| 99 |
+
98,1476.49,1.42442,0.93325,1.8981,0.84685,0.82353,0.87183,0.49758,3.01976,1.57608,2.89776,0.0003995,0.0003995,0.0003995
|
| 100 |
+
99,1490.71,1.42166,0.91659,1.89582,0.9148,0.78953,0.88785,0.51195,3.06248,1.52962,2.96277,0.000383,0.000383,0.000383
|
| 101 |
+
100,1506.34,1.3775,0.84571,1.84353,0.91615,0.83824,0.89879,0.5148,3.13042,1.54591,2.9732,0.0003665,0.0003665,0.0003665
|
| 102 |
+
101,1521.2,1.40647,0.87561,1.87881,0.85131,0.75782,0.85568,0.47876,3.20841,1.57426,2.98498,0.00035,0.00035,0.00035
|
| 103 |
+
102,1536.2,1.38278,0.89708,1.88158,0.83412,0.76471,0.86234,0.49336,3.18785,1.61259,3.04567,0.0003335,0.0003335,0.0003335
|
| 104 |
+
103,1550.59,1.32558,0.84729,1.83083,0.80959,0.77941,0.87591,0.51014,3.08652,1.5493,2.94874,0.000317,0.000317,0.000317
|
| 105 |
+
104,1564.73,1.35725,0.83593,1.86084,0.92075,0.72059,0.8778,0.51657,3.10938,1.57703,2.92104,0.0003005,0.0003005,0.0003005
|
| 106 |
+
105,1579.59,1.33748,0.82502,1.85107,0.85374,0.75,0.86572,0.49137,3.12117,1.71839,2.93525,0.000284,0.000284,0.000284
|
| 107 |
+
106,1594.36,1.31691,0.79164,1.85015,0.86234,0.76471,0.87891,0.51246,3.08835,1.5251,2.9325,0.0002675,0.0002675,0.0002675
|
| 108 |
+
107,1609.1,1.34015,0.83856,1.83786,0.89781,0.79412,0.88162,0.50965,3.08529,1.53918,2.93525,0.000251,0.000251,0.000251
|
| 109 |
+
108,1623.61,1.32058,0.82959,1.84605,0.91053,0.74831,0.86793,0.49855,3.08248,1.6485,2.90275,0.0002345,0.0002345,0.0002345
|
| 110 |
+
109,1637.68,1.22534,0.78388,1.82423,0.83281,0.8058,0.87456,0.51194,3.04547,1.52532,2.86658,0.000218,0.000218,0.000218
|
| 111 |
+
110,1652.23,1.25134,0.80666,1.83393,0.84782,0.81932,0.88325,0.50837,3.12096,1.5411,2.91652,0.0002015,0.0002015,0.0002015
|
| 112 |
+
111,1668.83,1.09033,0.65981,1.74385,0.84326,0.77941,0.87502,0.49182,3.09713,1.58496,2.98584,0.000185,0.000185,0.000185
|
| 113 |
+
112,1682.72,1.08457,0.6562,1.75005,0.91426,0.79412,0.89405,0.4992,3.10136,1.54668,3.00425,0.0001685,0.0001685,0.0001685
|
| 114 |
+
113,1696.81,1.07389,0.6354,1.75357,0.94129,0.75,0.88984,0.50294,3.11876,1.55336,3.00017,0.000152,0.000152,0.000152
|
| 115 |
+
114,1712.95,1.0586,0.63881,1.73262,0.93553,0.76471,0.89227,0.49488,3.11326,1.56755,2.97099,0.0001355,0.0001355,0.0001355
|
| 116 |
+
115,1727.03,1.02748,0.58241,1.7257,0.84474,0.79412,0.89316,0.49857,3.13714,1.56988,2.98476,0.000119,0.000119,0.000119
|
| 117 |
+
116,1741.24,0.98536,0.57291,1.71728,0.96127,0.73006,0.89496,0.49624,3.13731,1.62162,2.9886,0.0001025,0.0001025,0.0001025
|
| 118 |
+
117,1755.31,1.01389,0.61739,1.73948,0.93288,0.73529,0.8894,0.49884,3.20517,1.65528,3.04693,8.6e-05,8.6e-05,8.6e-05
|
| 119 |
+
118,1769.55,0.98225,0.5893,1.71487,0.86046,0.81618,0.89771,0.50621,3.18275,1.56797,3.02189,6.95e-05,6.95e-05,6.95e-05
|
| 120 |
+
119,1784.09,0.98551,0.57975,1.71026,0.81989,0.83824,0.89132,0.50783,3.15506,1.59152,3.00533,5.3e-05,5.3e-05,5.3e-05
|
| 121 |
+
120,1797.94,0.96211,0.57969,1.70991,0.84767,0.80882,0.89175,0.50306,3.13038,1.60862,2.99024,3.65e-05,3.65e-05,3.65e-05
|
Car_License_Plates-2/runs/detect/train/results.png
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/train_batch0.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/train_batch1.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/train_batch2.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/train_batch4290.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/train_batch4291.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/train_batch4292.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/val_batch0_labels.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/val_batch0_pred.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/val_batch1_labels.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/val_batch1_pred.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/runs/detect/train/weights/best.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7910948e61091afbfde76a9aed247296ca060a16f2ed548a89bb6a53d36b65be
|
| 3 |
+
size 5760378
|
Car_License_Plates-2/runs/detect/train/weights/last.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d14ed69b602788fa28cb218a6753f3a43872594d6e94a1ce2ddc011f1f86fd9
|
| 3 |
+
size 5760378
|
Car_License_Plates-2/test/images/Cars102_png.rf.fb7edb268f3d11a61f7ed08bd6e54de0.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars121_png.rf.7b6138a160067a7cc0ef1dd23a6a0cb0.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars125_png.rf.ebe3f79536bd17c2bdf068b78a72948d.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars129_png.rf.c1ba8ba8fbe953fe0ce67e7fb7aa06e1.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars142_png.rf.dd66cd718073d9a3a924c53c51e3870d.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars151_png.rf.46890621e845f26235a74d561d2d0168.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars155_png.rf.5a1aef08b9597c1896c90a35d1c8c050.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars164_png.rf.30200f4e1c890d5f90bc9894c5d40884.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars194_png.rf.97d695fe258e80e9e2bc832d5f444ccc.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars206_png.rf.c34ade1d2cbc3a28a12e76eca7b96cc9.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars213_png.rf.b61f30474d45eab77bc1eab0206bc870.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars228_png.rf.aa135e657a1c97592b928c949b784cd6.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars229_png.rf.9b31a0364f4913c5d73067ef9a18144b.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars233_png.rf.fd301b99398de096ba9556a7d9bf5969.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars243_png.rf.1e20012399a67a46554af8d96910b466.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars262_png.rf.70ea402641a891a1ea32a31b52484697.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars272_png.rf.89dc811802ebce177209f06781fb87f5.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars277_png.rf.a914f74312ba303130e581bcfd0688df.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars280_png.rf.de3e3b1aaa9490d7b9c47759f3a5c83c.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars290_png.rf.69aeaf48b31be394a75854ba075ea243.jpg
ADDED
|
Git LFS Details
|
Car_License_Plates-2/test/images/Cars292_png.rf.d60465dccf4a55a630bc071b26bf5165.jpg
ADDED
|
Git LFS Details
|