TRY THIS MODEL
Drop image here to test
diffusor-detection-jk3o4/2
Go to Universe Home
Sign In
Sign In or Sign Up
Roboflow App
Roboflow App
Documentation
Documentation
Documentation
Edit Project
Diffusor-Detection
Object Detection
Overview
Images
79
Dataset
20
Model
7
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-09-04 7:53pm
v21
·
5 months ago
2024-09-03 12:01pm
v20
·
6 months ago
2024-08-27 12:47pm
v19
·
6 months ago
2024-08-20 8:48am
v18
·
6 months ago
2024-08-20 7:32am
v17
·
6 months ago
2024-08-20 7:29am
v16
·
6 months ago
2024-07-12 8:47am
v15
·
7 months ago
2024-07-11 7:22am
v14
·
7 months ago
2024-07-10 5:28am
v13
·
7 months ago
2024-07-09 5:20am
v12
·
7 months ago
2024-07-04 4:43am
v11
·
7 months ago
2024-07-01 6:50am
v10
·
8 months ago
2024-06-28 4:35am
v9
·
8 months ago
2024-06-27 10:42am
v7
·
8 months ago
Yolov9_3Classes_with_Labels
v6
·
8 months ago
2024-06-21 2:39pm
v5
·
8 months ago
v4_yolo_2_classes
v4
·
8 months ago
v3_custom_yolov9
v3
·
8 months ago
2024-06-19 7:26am
v2
·
8 months ago
2024-06-19 7:23am
v1
·
8 months ago
v2
2024-06-19 7:26am
Generated on Jun 19, 2024
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.
98
Total Images
View All Images
Dataset Split
Train Set
92%
90
Images
Valid Set
3%
3
Images
Test Set
5%
5
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Rotation:
Between -16° and +16°
Saturation:
Between -28% and +28%
Exposure:
Between -10% and +10%
Noise:
Up to 0.5% of pixels
Similar Projects
See More