Dataset Versions
Versions
2023-06-08 6:29pm
v28
· a year ago
2023-06-08 6:22pm
v27
· a year ago
2023-06-06 2:50pm
v26
· a year ago
2023-06-06 2:50pm
v25
· a year ago
2023-06-06 2:50pm
v24
· a year ago
2023-06-06 2:50pm
v23
· a year ago
2023-06-06 2:48pm
v22
· a year ago
2023-06-06 2:46pm
v21
· a year ago
2023-06-03 11:10am
v19
· a year ago
2023-05-31 11:28am
v18
· a year ago
2023-05-31 11:06am
v16
· a year ago
2023-05-30 2:05pm
v15
· a year ago
2023-05-30 2:03pm
v14
· a year ago
2023-05-30 1:28pm
v13
· a year ago
2023-05-30 12:02pm
v12
· a year ago
2023-05-29 11:26am
v11
· a year ago
2023-05-28 12:21pm
v10
· a year ago
2023-05-27 9:40pm
v9
· 2 years ago
2023-05-27 9:34pm
v8
· 2 years ago
2023-05-26 2:30am
v4
· 2 years ago
2023-05-26 2:21am
v3
· 2 years ago
2023-05-26 2:01am
v2
· 2 years ago
2023-05-26 1:13am
v1
· 2 years ago
v14
2023-05-30 2:03pm
Generated on May 30, 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.
1689 Total Images
View All ImagesDataset Split
Train Set 82%
1390Images
Valid Set 12%
199Images
Test Set 6%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Modify Classes: 6 remapped, 0 dropped
Augmentations
Outputs per training example: 2
Exposure: Between -5% and +5%
Mosaic: Applied