Dataset Versions
Versions
2024-09-21 7:00am
v22
· 2 months ago
2024-09-16 9:26pm
v21
· 2 months ago
2024-08-17 7:37pm
v20
· 3 months ago
2024-08-12 4:56pm
v19
· 3 months ago
2024-08-11 1:16pm
v18
· 3 months ago
2024-08-11 7:59am
v17
· 3 months ago
2024-08-10 1:36pm
v16
· 3 months ago
2024-08-10 10:35am
v15
· 3 months ago
2024-08-06 7:42am
v14
· 3 months ago
2024-08-06 7:01am
v13
· 3 months ago
2024-08-03 6:09am
v12
· 3 months ago
2024-08-02 3:06am
v11
· 4 months ago
2024-08-01 7:13am
v10
· 4 months ago
2024-06-25 6:24pm
v9
· 5 months ago
2024-06-21 7:44am
v8
· 5 months ago
2024-06-20 6:52pm
v7
· 5 months ago
2024-06-18 5:52am
v6
· 5 months ago
2024-06-17 3:49pm
v5
· 5 months ago
2024-06-17 12:00pm
v4
· 5 months ago
2024-06-17 7:12am
v3
· 5 months ago
2024-06-14 3:57pm
v2
· 5 months ago
2024-06-03 12:45pm
v1
· 5 months ago
v22
2024-09-21 7:00am
Generated on Sep 21, 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.
1702 Total Images
View All ImagesDataset Split
Train Set 82%
1402Images
Valid Set 12%
201Images
Test Set 6%
99Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°