Dataset Versions
Versions
2023-07-13 3:48pm
v36
·
a year ago
2023-07-13 3:43pm
v34
·
a year ago
2023-07-13 3:42pm
v33
·
a year ago
2023-07-13 3:40pm
v32
·
a year ago
2023-07-13 3:38pm
v31
·
a year ago
2023-07-12 10:03pm
v30
·
a year ago
2023-07-12 9:38pm
v29
·
a year ago
2023-07-12 9:36pm
v28
·
a year ago
2023-07-12 9:33pm
v27
·
a year ago
2023-07-12 9:31pm
v26
·
a year ago
2023-07-12 9:28pm
v25
·
a year ago
2023-07-12 9:26pm
v24
·
a year ago
2023-07-12 9:23pm
v23
·
a year ago
2023-07-12 9:21pm
v22
·
a year ago
2023-07-12 8:12am
v21
·
a year ago
2023-07-12 8:03am
v19
·
a year ago
2023-07-12 7:56am
v18
·
a year ago
2023-07-12 7:54am
v17
·
a year ago
2023-07-12 7:50am
v16
·
a year ago
2023-07-12 7:49am
v15
·
a year ago
2023-07-12 7:48am
v14
·
a year ago
2023-07-12 7:46am
v13
·
a year ago
2023-07-12 7:44am
v12
·
a year ago
2023-07-11 4:27pm
v11
·
a year ago
2023-07-11 4:20pm
v10
·
a year ago
2023-07-11 4:19pm
v9
·
a year ago
2023-07-11 4:19pm
v8
·
a year ago
2023-07-11 4:18pm
v7
·
a year ago
2023-07-11 3:42pm
v6
·
a year ago
2023-07-11 3:28pm
v5
·
a year ago
v32
2023-07-13 3:40pm
Generated on
Jul 13, 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.
278 Total Images
View All ImagesDataset Split
Train
Set
100%
278Images
Valid
Set
%
0Images
Test
Set
%
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example:
3
Shear:
±3° Horizontal, ±0° Vertical
Similar Projects
See More1
0.9826406
0.9826393
0.9741266
0.9732261