Dataset Versions
Versions
2023-05-15 3:41pm
v12
· 2 years ago
2023-05-15 3:40pm
v11
· 2 years ago
2023-05-07 10:50pm
v10
· 2 years ago
2023-05-07 10:22pm
v9
· 2 years ago
2023-05-07 10:19pm
v8
· 2 years ago
2023-05-07 9:55pm
v7
· 2 years ago
2023-05-07 9:52pm
v6
· 2 years ago
2023-03-01 10:47pm
v5
· 2 years ago
2023-02-22 6:18pm
v2
· 2 years ago
2023-02-22 5:57pm
v1
· 2 years ago
v10
2023-05-07 10:50pm
Generated on May 7, 2023
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.
1125 Total Images
View All Images
Dataset Split
Train Set 100%
1125Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each