Dataset Versions
Versions
2023-05-31 10:50pm
v37
· a year ago
2023-05-28 1:07pm
v35
· a year ago
2023-05-27 10:17am
v34
· a year ago
2023-05-11 3:11pm
v33
· 2 years ago
2023-05-04 2:05pm
v32
· 2 years ago
2023-04-29 5:43pm
v31
· 2 years ago
2023-04-29 11:57am
v30
· 2 years ago
2023-04-23 9:50am
v27
· 2 years ago
2023-04-19 1:36pm
v25
· 2 years ago
autolabeleld-edited
v24
· 2 years ago
autolabeleld-edited
v23
· 2 years ago
2023-04-13 8:59am
v22
· 2 years ago
2023-04-12 5:53pm
v21
· 2 years ago
2023-04-12 10:40am
v20
· 2 years ago
2023-04-11 4:07pm
v17
· 2 years ago
auto-labelled-edited
v16
· 2 years ago
2023-04-07 3:13pm
v15
· 2 years ago
2023-04-07 11:43am
v14
· 2 years ago
2023-04-07 10:19am
v13
· 2 years ago
2023-04-06 10:45am
v12
· 2 years ago
2023-04-05 10:30am
v11
· 2 years ago
2023-04-04 2:37pm
v10
· 2 years ago
2023-04-04 12:35pm
v9
· 2 years ago
2023-03-17 9:39am
v6
· 2 years ago
v20
2023-04-12 10:40am
Generated on Apr 12, 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.
2194 Total Images
View All ImagesDataset Split
Train Set 88%
1921Images
Valid Set 12%
273Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -17% and +17%