TRY THIS MODEL
Drop image here to test
yolotest1-63qpj/14 (latest)
Go to Universe Home
Sign In
Sign In or Sign Up
Universe
Universe
Documentation
Documentation
Documentation
Edit Project
YoloTest1
Object Detection
Overview
Images
396
Dataset
19
Model
3
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-05-17 5:56pm
v21
·
2 years ago
2023-05-17 5:52pm
v20
·
2 years ago
2023-05-17 5:49pm
v19
·
2 years ago
2023-05-16 4:17pm
v18
·
2 years ago
2023-05-16 4:13pm
v16
·
2 years ago
2023-05-16 4:10pm
v15
·
2 years ago
2023-05-11 3:27pm
v14
·
2 years ago
2023-05-09 4:46pm
v13
·
2 years ago
2023-05-09 4:27pm
v12
·
2 years ago
2023-05-09 4:13pm
v11
·
2 years ago
2023-05-09 4:07pm
v10
·
2 years ago
2023-05-08 5:28pm
v9
·
2 years ago
2023-05-08 4:59pm
v7
·
2 years ago
2023-05-08 2:18pm
v6
·
2 years ago
2023-05-08 2:16pm
v5
·
2 years ago
2023-05-04 7:16pm
v4
·
2 years ago
2023-05-04 7:14pm
v3
·
2 years ago
2023-05-04 2:26pm
v2
·
2 years ago
2023-05-02 4:49pm
v1
·
2 years ago
v4
2023-05-04 7:16pm
Generated on May 4, 2023
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.
230
Total Images
View All Images
Dataset Split
Train Set
91%
210
Images
Valid Set
9%
20
Images
Test Set
%
0
Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise
Hue:
Between -63° and +63°
Similar Projects
See More
Instance Segmentation
Model
roboflow-3-n-seg
wheat
WheatAnnotation
289 images
1 model
Classification
Fusa
WheatAnnotation
278 images
Object Detection
Fusarium
WheatAnnotation
278 images
Instance Segmentation
yolov7-seg
yolov7seg
36 images
Object Detection
snap
w602020
please
734 images