Dataset Versions
Versions
2024-12-03 10:17pm
v31
· 18 days ago
2024-12-03 10:06pm
v26
· 18 days ago
2024-12-01 7:37pm
v25
· 21 days ago
2024-11-30 11:52pm
v24
· 21 days ago
2024-11-28 1:08am
v23
· 24 days ago
2024-11-28 1:07am
v22
· 24 days ago
2024-11-28 1:05am
v21
· 24 days ago
2024-11-27 1:42am
v18
· 25 days ago
2024-11-24 6:15pm
v17
· a month ago
2024-11-24 1:50pm
v16
· a month ago
2024-11-24 12:28pm
v15
· a month ago
2024-11-20 9:10pm
v14
· a month ago
2024-11-20 9:09pm
v13
· a month ago
2024-11-04 2:31pm
v12
· 2 months ago
2024-11-03 1:04pm
v11
· 2 months ago
2024-10-30 2:58pm
v10
· 2 months ago
2024-10-30 2:50pm
v9
· 2 months ago
2024-10-18 8:20am
v8
· 2 months ago
2024-09-19 6:39am
v7
· 3 months ago
2024-09-18 1:09pm
v6
· 3 months ago
2024-09-15 2:20pm
v5
· 3 months ago
2024-09-15 2:00pm
v4
· 3 months ago
2024-09-12 11:03am
v3
· 3 months ago
2024-09-11 12:41pm
v2
· 3 months ago
2024-08-30 1:12pm
v1
· 4 months ago
v5
2024-09-15 2:20pm
Generated on Sep 15, 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.
1844 Total Images
View All ImagesDataset Split
Train Set 77%
1429Images
Valid Set 15%
278Images
Test Set 7%
137Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal