Dataset Versions
Versions
2024-09-19 7:00am
v31
· 2 months ago
2024-09-18 1:28pm
v30
· 2 months ago
2024-09-18 1:17pm
v29
· 2 months ago
2024-05-09 8:17pm
v27
· 7 months ago
2024-04-02 5:59pm
v26
· 8 months ago
2024-04-02 5:57pm
v25
· 8 months ago
2024-04-02 5:55pm
v24
· 8 months ago
2024-04-02 5:55pm
v23
· 8 months ago
2024-04-02 5:54pm
v22
· 8 months ago
2024-04-02 5:49pm
v21
· 8 months ago
2024-04-02 4:06pm
v20
· 8 months ago
2024-04-02 10:27am
v19
· 8 months ago
2024-04-01 2:54pm
v18
· 8 months ago
2024-04-01 2:51pm
v17
· 8 months ago
2024-03-31 8:45pm
v15
· 8 months ago
2024-03-31 7:14pm
v14
· 8 months ago
2024-03-31 10:09am
v12
· 8 months ago
2024-03-31 12:25am
v11
· 8 months ago
2024-03-30 5:22pm
v10
· 8 months ago
2024-03-28 11:20am
v9
· 8 months ago
2024-03-28 11:19am
v8
· 8 months ago
2024-03-28 11:07am
v7
· 8 months ago
2024-01-24 7:10am
v6
· 10 months ago
2024-01-21 10:47pm
v5
· 10 months ago
2024-01-10 7:52pm
v4
· a year ago
2024-01-09 3:36pm
v3
· a year ago
2024-01-06 8:15pm
v2
· a year ago
2024-01-04 9:06pm
v1
· a year ago
v30
2024-09-18 1:28pm
Generated on Sep 18, 2024
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.
8549 Total Images
View All ImagesDataset Split
Train Set 92%
7843Images
Valid Set 7%
604Images
Test Set 1%
102Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down