TRY THIS MODEL
Drop image here to test
vepay-license-plate-detection/7 (latest)
Go to Universe Home
Sign In
Sign In or Sign Up
Roboflow App
Roboflow App
Documentation
Documentation
Documentation
Edit Project
vepay-license-plate-detection
Object Detection
Overview
Images
1360
Dataset
12
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2022-05-28 6:06pm
v18
·
3 years ago
2022-05-28 5:49pm
v16
·
3 years ago
2022-05-27 8:54am
v15
·
3 years ago
2022-05-26 11:03pm
v13
·
3 years ago
2022-05-26 9:28pm
v12
·
3 years ago
2022-05-26 10:51am
v11
·
3 years ago
2022-05-25 2:57pm
v9
·
3 years ago
2022-05-22 10:50am noise and blur version 2
v7
·
3 years ago
2022-05-22 10:42am noise and blur
v6
·
3 years ago
2022-05-20 10:54am Version 3
v4
·
3 years ago
2022-05-20 10:18am Version 2
v2
·
3 years ago
2022-05-20 8:35am Version 1
v1
·
3 years ago
v16
2022-05-28 5:49pm
Generated on May 28, 2022
Download
Dataset
Popular Download Formats
YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
YOLOv9
TXT annotations and YAML config
used with
YOLOv9
.
YOLOv8
TXT annotations and YAML config
used with
YOLOv8
.
YOLOv5
TXT annotations and YAML config
used with
YOLOv5
.
YOLOv7
TXT annotations and YAML config
used with
YOLOv7
.
COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
.
YOLO Darknet
Darknet TXT annotations
used with
YOLO Darknet
(both v3 and v4) and
YOLOv3 PyTorch
.
Pascal VOC XML
Common
XML annotation format
for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format
used for both
Tensorflow 1.5
and
Tensorflow 2.0 Object Detection
models.
PaliGemma
PaliGemma JSONL format
used for fine-tuning
PaliGemma
, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format
is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2310
Total Images
View All Images
Dataset Split
Train Set
82%
1900
Images
Valid Set
12%
274
Images
Test Set
6%
136
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
2
Blur:
Up to 1.5px
Noise:
Up to 10% of pixels
Similar Projects
See More