Dataset Versions
Versions
Out of Frame
v41
· 2 years ago
FallDown2279
v40
· 2 years ago
Accident2279
v39
· 2 years ago
2022-12-30 1:30pm
v38
· 2 years ago
2022-12-30 1:28pm
v37
· 2 years ago
NewAgument
v34
· 2 years ago
New_BalanceDataser
v29
· 2 years ago
2022-12-04 6:30am
v28
· 2 years ago
balance-Newdataset
v27
· 2 years ago
2022-11-27 3:57pm
v26
· 2 years ago
2022-11-27 3:56pm
v25
· 2 years ago
2022-11-27 3:46pm
v24
· 2 years ago
2022-11-27 3:45pm
v23
· 2 years ago
2022-11-27 3:43pm
v22
· 2 years ago
2022-11-27 3:40pm
v21
· 2 years ago
2022-11-27 3:13pm
v20
· 2 years ago
2022-11-27 11:41am
v19
· 2 years ago
Adddata-nonIsolated-608
v18
· 2 years ago
Add-data-Isolate
v17
· 2 years ago
Old-Agument3.5k
v16
· 2 years ago
2022-11-21 9:55pm
v15
· 2 years ago
2022-11-21 9:45pm
v14
· 2 years ago
Use for test CM
v13
· 3 years ago
Train-Test-Agu2022
v12
· 3 years ago
Val-Aug2022
v11
· 3 years ago
Test-Aug2022
v10
· 3 years ago
Test-Augmentation2
v9
· 3 years ago
Test-Augmentation
v8
· 3 years ago
Resize-nonfiller
v7
· 3 years ago
non Fillter
v6
· 3 years ago
Modifly class
v5
· 3 years ago
Non Resize
v4
· 3 years ago
Fully Annotate
v3
· 3 years ago
2022-03-07 3:10pm
v1
· 3 years ago
v34
NewAgument
Generated on Dec 13, 2022
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.
4002 Total Images
View All Images
Dataset Split
Train Set 65%
2598Images
Valid Set 35%
1404Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 608x608
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 1 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Brightness: Between -30% and +30%