Dataset Versions
Versions
2023-06-04 10:21am
v28
· a year ago
2023-06-04 10:12am
v27
· a year ago
2023-06-04 10:05am
v26
· a year ago
2023-06-04 9:53am
v25
· a year ago
2023-06-04 9:52am
v24
· a year ago
2023-06-04 9:51am
v23
· a year ago
2023-06-04 9:50am
v22
· a year ago
2023-06-04 9:48am
v21
· a year ago
2023-06-04 9:47am
v20
· a year ago
2023-06-04 9:43am
v19
· a year ago
2023-05-31 4:20am
v18
· a year ago
2023-05-28 3:26pm
v17
· a year ago
2023-05-28 3:25pm
v16
· a year ago
2023-05-28 3:23pm
v15
· a year ago
2023-05-25 6:21pm
v14
· a year ago
2023-05-25 4:20pm
v13
· a year ago
2023-05-21 1:27pm
v12
· a year ago
2023-05-21 11:35am
v11
· a year ago
2023-05-19 4:34am
v10
· a year ago
2023-05-19 1:05am
v9
· a year ago
2023-05-19 1:04am
v8
· a year ago
2023-05-19 1:03am
v7
· a year ago
2023-05-19 1:02am
v6
· a year ago
2023-05-19 1:01am
v5
· a year ago
2023-05-19 1:00am
v4
· a year ago
2023-05-19 12:59am
v3
· a year ago
2023-05-19 12:58am
v2
· a year ago
2023-05-19 12:57am
v1
· a year ago
v28
2023-06-04 10:21am
Generated on Jun 4, 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.
647 Total Images
View All ImagesDataset Split
Train Set 70%
453Images
Valid Set 20%
129Images
Test Set 10%
65Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -17% and +17%