Dataset Versions
Versions
2023-11-03 5:02pm
v4935
· a year ago
2023-11-03 5:01pm
v4934
· a year ago
2023-11-03 4:59pm
v4933
· a year ago
2023-11-03 4:59pm
v4932
· a year ago
2023-11-03 4:58pm
v4931
· a year ago
2023-11-03 4:57pm
v4929
· a year ago
2023-11-03 4:56pm
v4930
· a year ago
2023-11-03 4:53pm
v4928
· a year ago
2023-11-03 4:53pm
v4927
· a year ago
2023-11-03 4:52pm
v4926
· a year ago
2023-11-03 4:45pm
v4946
· a year ago
2023-11-03 4:45pm
v4945
· a year ago
2023-11-03 4:44pm
v4944
· a year ago
2023-11-03 4:44pm
v4943
· a year ago
2023-11-03 4:44pm
v4942
· a year ago
2023-11-03 4:44pm
v4941
· a year ago
2023-11-03 4:43pm
v4940
· a year ago
2023-11-03 4:43pm
v4939
· a year ago
2023-11-03 4:43pm
v4938
· a year ago
2023-11-03 4:43pm
v4937
· a year ago
2023-11-03 4:42pm
v4936
· a year ago
2023-11-03 4:39pm
v4956
· a year ago
2023-11-03 4:39pm
v4955
· a year ago
2023-11-03 4:39pm
v4954
· a year ago
2023-11-03 4:38pm
v4953
· a year ago
2023-11-03 4:38pm
v4952
· a year ago
2023-11-03 4:38pm
v4951
· a year ago
2023-11-03 4:38pm
v4950
· a year ago
2023-11-03 4:38pm
v4949
· a year ago
2023-11-03 4:38pm
v4948
· a year ago
2023-11-03 4:38pm
v4947
· a year ago
2023-11-03 4:35pm
v4925
· a year ago
2023-11-03 4:35pm
v4924
· a year ago
2023-11-03 4:34pm
v4923
· a year ago
2023-11-03 4:34pm
v4922
· a year ago
v4929
2023-11-03 4:57pm
Generated on Nov 3, 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.
1647 Total Images
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Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal