Dataset Versions
Versions
2022-06-23 8:07pm
v28
· 2 years ago
2022-06-23 5:58pm
v27
· 2 years ago
2022-06-23 5:45pm
v26
· 2 years ago
2022-06-21 4:17pm
v25
· 2 years ago
2022-06-21 12:25pm
v24
· 2 years ago
2022-06-21 11:24am
v23
· 2 years ago
2022-06-21 11:02am
v22
· 2 years ago
2022-06-21 10:41am
v21
· 2 years ago
2022-06-21 10:32am
v20
· 2 years ago
2022-06-21 8:20am
v19
· 2 years ago
2022-06-21 8:07am
v18
· 2 years ago
2022-06-20 11:44pm
v17
· 2 years ago
2022-06-20 9:29pm
v16
· 2 years ago
2022-06-20 9:02pm
v15
· 2 years ago
2022-06-20 9:02pm
v14
· 2 years ago
2022-06-20 8:37pm
v13
· 2 years ago
2022-06-19 11:26pm
v12
· 2 years ago
2022-06-19 9:52pm
v11
· 2 years ago
2022-06-19 8:47pm
v10
· 2 years ago
2022-06-19 8:35pm
v9
· 2 years ago
2022-06-19 5:42pm
v8
· 2 years ago
2022-06-19 2:10pm
v7
· 2 years ago
2022-06-19 2:08pm
v6
· 2 years ago
2022-06-19 1:43pm
v5
· 2 years ago
2022-06-18 11:30pm
v4
· 2 years ago
2022-06-18 10:39pm
v3
· 2 years ago
2022-06-18 9:44pm
v2
· 2 years ago
2022-06-18 7:19pm
v1
· 2 years ago
v20
2022-06-21 10:32am
Generated on Jun 21, 2022
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.
1250 Total Images
View All ImagesDataset Split
Train Set 91%
1135Images
Valid Set 8%
100Images
Test Set 1%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down