Dataset Versions
Versions
2025-02-17 5:03pm
v29
· 21 hours ago
2025-02-05 11:46am
v28
· 13 days ago
2025-01-24 4:57pm
v27
· 25 days ago
2025-01-24 9:17am
v26
· 25 days ago
2025-01-22 3:44pm
v25
· a month ago
2025-01-22 10:49am
v24
· a month ago
2025-01-20 11:05am
v22
· a month ago
2025-01-16 5:55pm
v21
· a month ago
2025-01-07 4:19pm
v20
· a month ago
2025-01-06 3:53pm
v19
· a month ago
2025-01-04 4:16pm
v18
· a month ago
2025-01-03 4:53pm
v17
· a month ago
2025-01-02 1:51pm
v16
· 2 months ago
2025-01-02 9:49am
v15
· 2 months ago
2024-12-31 3:02pm
v14
· 2 months ago
2024-12-31 9:52am
v13
· 2 months ago
2024-12-30 4:33pm
v12
· 2 months ago
2024-12-12 9:52am
v11
· 2 months ago
2024-11-18 1:46pm
v10
· 3 months ago
2024-11-15 9:47am
v9
· 3 months ago
2024-11-14 11-01am
v8
· 3 months ago
2024-11-13 5:46am
v7
· 3 months ago
2024-11-13 2:08am
v6
· 3 months ago
2024-11-12 8:42am
v5
· 3 months ago
2024-11-12 6:23am
v4
· 3 months ago
2024-11-12 2:47am
v3
· 3 months ago
2024-11-11 9:36am
v2
· 3 months ago
2024-11-11 8:53am
v1
· 3 months ago
v3
2024-11-12 2:47am
Generated on Nov 12, 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.
675 Total Images
View All ImagesDataset Split
Train Set 77%
522Images
Valid Set 13%
90Images
Test Set 9%
63Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Filter by Tag: 0 required, 1 dropped
Augmentations
No augmentations were applied.