Dataset Versions
Versions
2025-01-14 8:16pm
v31
· 6 days ago
2025-01-14 8:01am
v30
· 7 days ago
2025-01-13 11:36pm
v29
· 7 days ago
2025-01-13 10:45pm
v28
· 7 days ago
2025-01-13 7:04pm
v27
· 7 days ago
2025-01-13 3:40pm
v26
· 7 days ago
2025-01-02 7:28pm
v25
· 18 days ago
2025-01-02 3:07pm
v24
· 18 days ago
2025-01-01 1:28pm
v23
· 19 days ago
2024-12-21 12:44pm
v22
· a month ago
2024-12-21 8:15am
v21
· a month ago
2024-12-16 10:20pm
v20
· a month ago
2024-12-16 10:09pm
v19
· a month ago
2024-12-16 9:52pm
v18
· a month ago
2024-12-14 1:03pm
v17
· a month ago
2024-12-14 10:58am
v16
· a month ago
2024-12-14 10:56am
v15
· a month ago
2024-11-29 9:36pm
v14
· 2 months ago
2024-11-29 3:43pm
v13
· 2 months ago
2024-11-28 9:30am
v12
· 2 months ago
2024-11-28 9:29am
v11
· 2 months ago
2024-11-13 6:56am
v10
· 2 months ago
2024-10-29 12:10pm
v9
· 3 months ago
2024-10-26 5:48am
v8
· 3 months ago
2024-10-22 9:17am
v7
· 3 months ago
2024-10-22 9:17am
v6
· 3 months ago
2024-10-22 8:53am
v5
· 3 months ago
2024-10-22 8:53am
v4
· 3 months ago
2024-10-22 8:49am
v3
· 3 months ago
2024-10-22 8:48am
v2
· 3 months ago
2024-10-10 7:44am
v1
· 3 months ago
v6
2024-10-22 9:17am
Generated on Oct 22, 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.
739 Total Images
View All ImagesDataset Split
Train Set 85%
629Images
Valid Set 10%
73Images
Test Set 5%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Upside Down