Dataset Versions
Versions
2023-03-21 1:11am
v23
· 2 years ago
2023-03-21 1:05am
v22
· 2 years ago
2023-03-21 1:01am
v21
· 2 years ago
2023-03-20 2:34pm
v20
· 2 years ago
2023-03-20 10:34am
v19
· 2 years ago
2023-03-19 11:47pm
v18
· 2 years ago
2023-03-19 11:42pm
v17
· 2 years ago
2023-03-19 9:16pm
v16
· 2 years ago
2023-03-19 6:01pm
v15
· 2 years ago
2023-03-19 5:58pm
v14
· 2 years ago
2023-03-19 5:31pm
v13
· 2 years ago
2023-03-19 5:29pm
v12
· 2 years ago
2023-03-19 5:27pm
v11
· 2 years ago
2023-03-19 5:24pm
v10
· 2 years ago
2023-03-19 5:18pm
v9
· 2 years ago
2023-03-17 1:11am
v8
· 2 years ago
2023-03-17 12:34am
v7
· 2 years ago
2023-03-16 10:27pm
v6
· 2 years ago
2023-03-16 9:33pm
v5
· 2 years ago
2023-03-16 4:15pm
v4
· 2 years ago
2023-03-16 3:49pm
v3
· 2 years ago
2023-03-16 1:58pm
v2
· 2 years ago
2023-03-16 1:52pm
v1
· 2 years ago
v19
2023-03-20 10:34am
Generated on Mar 20, 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.
558 Total Images
View All Images
Dataset Split
Train Set 87%
486Images
Valid Set 8%
45Images
Test Set 5%
27Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Saturation: Between -99% and +99%
Cutout: 3 boxes with 10% size each