Dataset Versions
Versions
2023-07-28 6:43pm
v92
· 2 years ago
2023-07-23 4:24pm
v91
· 2 years ago
2023-07-23 3:54am
v90
· 2 years ago
2023-07-23 3:54am
v89
· 2 years ago
2023-07-23 3:37am
v88
· 2 years ago
2023-07-23 3:37am
v87
· 2 years ago
2023-07-23 3:21am
v86
· 2 years ago
2023-07-23 2:54am
v85
· 2 years ago
2023-07-23 2:16am
v84
· 2 years ago
2023-07-23 2:16am
v83
· 2 years ago
2023-07-23 2:03am
v82
· 2 years ago
2023-07-23 1:36am
v81
· 2 years ago
2023-07-23 12:51am
v80
· 2 years ago
2023-07-23 12:07am
v79
· 2 years ago
2023-07-23 12:07am
v78
· 2 years ago
2023-07-22 11:30pm
v77
· 2 years ago
2023-07-22 10:51pm
v76
· 2 years ago
2023-07-22 10:11pm
v75
· 2 years ago
2023-07-22 9:45pm
v74
· 2 years ago
2023-07-22 8:57pm
v73
· 2 years ago
2023-07-22 8:57pm
v72
· 2 years ago
2023-07-22 8:22pm
v71
· 2 years ago
2023-07-22 7:50pm
v70
· 2 years ago
2023-07-22 7:38pm
v69
· 2 years ago
2023-07-22 7:13pm
v68
· 2 years ago
2023-07-14 6:14pm
v67
· 2 years ago
2023-07-14 5:23pm
v66
· 2 years ago
v86
2023-07-23 3:21am
Generated on Jul 22, 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.
3849 Total Images
View All Images
Dataset Split
Train Set 88%
3372Images
Valid Set 8%
321Images
Test Set 4%
156Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 28 remapped, 0 dropped
Augmentations
Outputs per training example: 2
Brightness: Between -9% and +9%
Bounding Box: Blur: Up to 2.5px