Dataset Versions
Versions
Cutout: 5 boxes with 1- 2022-05-04 12:24am
v16
· 3 years ago
Grayscale: 3x 100- 2022-05-03 11:49pm
v15
· 3 years ago
Mosaci 3x 2022-04-20 10:54pm
v14
· 3 years ago
3-5 Cutout 3x 2022-04-20 10:53pm
v13
· 3 years ago
5 Noise 3x 2022-04-20 10:52pm
v12
· 3 years ago
10px Blur 3x 2022-04-20 10:52pm
v11
· 3 years ago
25 Exposure 3x 2022-04-20 10:51pm
v10
· 3 years ago
25 Brightness 3x 2022-04-20 10:50pm
v9
· 3 years ago
25 Saturation 3x 2022-04-20 10:50pm
v8
· 3 years ago
20 Hue 3x 2022-04-20 10:49pm
v7
· 3 years ago
25 Grayscale 3x 2022-04-20 10:49pm
v6
· 3 years ago
15 Shear 3x 2022-04-20 10:47pm
v5
· 3 years ago
20 Rotation 3x 2022-04-20 10:47pm
v4
· 3 years ago
Crop 3x 2022-04-20 10:44pm
v3
· 3 years ago
90 rotate 3x 2022-04-20 10:40pm
v2
· 3 years ago
flip 3x 2022-04-20 10:37pm
v1
· 3 years ago
v16
Cutout: 5 boxes with 1- 2022-05-04 12:24am
Generated on May 3, 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.
1032 Total Images
View All Images
Dataset Split
Train Set 100%
1032Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Cutout: 5 boxes with 1% size each