Dataset Versions
Versions
2024-12-29 5:03pm
v33
· 9 hours ago
2024-12-14 2:01pm
v32
· 16 days ago
2024-12-11 7:54pm
v31
· 18 days ago
2024-12-07 10:08pm
v30
· 22 days ago
2024-12-05 10:20pm
v29
· 24 days ago
2024-12-04 9:46pm
v28
· 25 days ago
2024-12-04 12:22am
v27
· a month ago
2024-12-03 11:18pm
v26
· a month ago
2024-12-03 10:49pm
v25
· a month ago
2024-12-02 11:50pm
v24
· a month ago
2024-12-02 10:44pm
v23
· a month ago
2024-12-02 3:21pm
v22
· a month ago
2024-12-02 2:38pm
v21
· a month ago
2024-12-02 2:33pm
v20
· a month ago
2024-12-02 1:36pm
v19
· a month ago
2024-12-02 12:56pm
v18
· a month ago
2024-12-01 3:46pm
v17
· a month ago
2024-12-01 3:14pm
v16
· a month ago
2024-12-01 2:44pm
v15
· a month ago
2024-12-01 2:25pm
v14
· a month ago
2024-12-01 1:45pm
v13
· a month ago
2024-12-01 1:17am
v12
· a month ago
2024-11-30 10:06pm
v11
· a month ago
2024-11-29 2:31pm
v10
· a month ago
2024-11-27 8:13pm
v8
· a month ago
2024-11-27 7:43pm
v7
· a month ago
2024-11-25 7:44pm
v6
· a month ago
2024-11-25 7:14pm
v5
· a month ago
2024-11-24 6:55pm
v3
· a month ago
2024-11-23 5:53pm
v2
· a month ago
v6
2024-11-25 7:44pm
Generated on Nov 25, 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.
59 Total Images
View All Images
Dataset Split
Train Set 100%
59Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Blur: Up to 2.5px