Dataset Versions
Versions
2023-06-05 12:14pm
v25
· 2 years ago
2023-06-05 11:50am
v24
· 2 years ago
2023-06-05 11:34am
v23
· 2 years ago
2023-05-18 12:06pm
v22
· 2 years ago
2023-05-16 12:06am
v21
· 2 years ago
2023-05-15 1:34pm
v20
· 2 years ago
2023-04-25 6:20pm
v19
· 2 years ago
2023-04-14 1:29pm
v18
· 2 years ago
2023-04-14 1:26pm
v17
· 2 years ago
2023-04-11 10:36pm
v15
· 2 years ago
2023-04-11 3:42pm
v14
· 2 years ago
2023-04-11 10:19am
v11
· 2 years ago
2023-04-11 10:14am
v10
· 2 years ago
2023-04-07 2:19pm
v9
· 2 years ago
2023-04-07 11:53am
v8
· 2 years ago
2023-04-07 11:30am
v7
· 2 years ago
2023-04-07 10:24am
v6
· 2 years ago
2023-04-06 11:56am
v5
· 2 years ago
2023-04-06 11:46am
v4
· 2 years ago
2023-04-05 2:56pm
v3
· 2 years ago
2023-04-04 3:58pm
v2
· 2 years ago
2023-04-04 2:24pm
v1
· 2 years ago
v25
2023-06-05 12:14pm
Generated on Jun 5, 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.
1449 Total Images
View All ImagesDataset Split
Train Set 97%
1404Images
Valid Set 2%
36Images
Test Set 1%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Modify Classes: 12 remapped, 1 dropped
Augmentations
Outputs per training example: 2
90° Rotate: Counter-Clockwise