Dataset Versions
Versions
2023-10-13 6:50am
v32
· a year ago
2023-10-12 9:41pm
v31
· a year ago
2023-10-12 9:19pm
v30
· a year ago
2023-10-12 9:12pm
v29
· a year ago
2023-10-10 3:10pm
v28
· a year ago
2023-10-09 9:04pm
v27
· a year ago
2023-10-09 8:45pm
v26
· a year ago
2023-10-09 11:31am
v25
· a year ago
2023-10-09 6:16am
v24
· a year ago
2023-10-08 8:58pm
v23
· a year ago
2023-10-08 8:06pm
v22
· a year ago
2023-10-08 7:30pm
v21
· a year ago
2023-10-07 4:17pm
v20
· a year ago
2023-10-07 10:00am
v19
· a year ago
2023-10-07 9:53am
v18
· a year ago
2023-10-07 9:37am
v17
· a year ago
2023-10-07 8:05am
v16
· a year ago
2023-10-07 7:54am
v15
· a year ago
2023-10-07 7:45am
v14
· a year ago
2023-10-07 7:41am
v13
· a year ago
2023-10-07 7:29am
v12
· a year ago
2023-10-07 7:19am
v11
· a year ago
2023-10-07 7:06am
v10
· a year ago
2023-10-06 11:27pm
v9
· a year ago
2023-10-06 11:21pm
v8
· a year ago
2023-10-06 10:12pm
v7
· a year ago
2023-10-06 7:43pm
v6
· a year ago
2023-10-06 7:35pm
v5
· a year ago
2023-10-06 7:24pm
v4
· a year ago
2023-10-06 7:14pm
v3
· a year ago
2023-10-06 7:05pm
v2
· a year ago
v11
2023-10-07 7:19am
Generated on Oct 7, 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.
592 Total Images
View All ImagesDataset Split
Train Set 83%
490Images
Valid Set 11%
67Images
Test Set 6%
35Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
90° Rotate: Counter-Clockwise