mo Dataset
Versions
2024-06-27 7:04am
v60
· 6 days ago
0
v56
· 6 days ago
blur3.6
v55
· 6 days ago
blur2.7
v54
· 6 days ago
blur1.8
v53
· 6 days ago
blur0.9
v52
· 6 days ago
exposure12
v51
· 6 days ago
exposure09
v50
· 6 days ago
exposure06
v49
· 6 days ago
exposure03
v48
· 6 days ago
noise2.0
v47
· 7 days ago
noise1.5
v46
· 7 days ago
noise1.0
v45
· 7 days ago
noise0.5
v44
· 7 days ago
blur4.5px
v43
· 7 days ago
blur4.0px
v42
· 7 days ago
blur3.5px
v41
· 7 days ago
blur3.0px
v40
· 7 days ago
blur2.5px
v39
· 7 days ago
blur2.0px
v38
· 7 days ago
blur1.5px
v37
· 7 days ago
blur1.0px
v36
· 7 days ago
blur0.5px
v35
· 7 days ago
exposure15
v24
· 7 days ago
exposure10
v23
· 7 days ago
exposure05
v22
· 7 days ago
brightness25
v21
· 7 days ago
brightness20
v20
· 7 days ago
brightness15
v19
· 7 days ago
brightness10
v18
· 7 days ago
brightness05
v17
· 7 days ago
saturation30
v16
· 7 days ago
saturation25
v15
· 7 days ago
saturation20
v14
· 7 days ago
saturation15
v13
· 7 days ago
saturation10
v12
· 7 days ago
saturation05
v11
· 7 days ago
hue25
v9
· 7 days ago
hue20
v8
· 7 days ago
hue15
v7
· 7 days ago
hue10
v6
· 7 days ago
hue05
v5
· 7 days ago
rotation05
v4
· 7 days ago
rotation15
v2
· 7 days ago
rotation10
v1
· 7 days ago
v17
brightness05
Generated on Jun 26, 2024
Popular Download Formats
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.
2407 Total Images
View All ImagesDataset Split
Train Set 72%
1723Images
Valid Set 14%
343Images
Test Set 14%
341Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -5% and +5%
Similar Projects
human-car-bike
3067 images
-cars-
1980 images
Human-Vehicle
2021 images
cars
955 images
Cars
526 images