Dataset Versions
Versions
2024-12-22 3:03pm
v25
· 7 hours ago
2024-12-07 2:18am
v24
· 16 days ago
2024-11-29 8:48am
v23
· 24 days ago
2024-11-28 9:59pm
v22
· 24 days ago
2024-11-28 5:33pm
v21
· 24 days ago
2024-09-12 2:01am
v20
· 3 months ago
2024-09-09 4:11am
v19
· 3 months ago
2024-09-09 2:27am
v18
· 3 months ago
2024-09-08 3:55pm
v17
· 3 months ago
2024-09-08 3:29pm
v16
· 3 months ago
2024-09-04 2:28pm
v15
· 4 months ago
2024-09-04 1:56pm
v14
· 4 months ago
2024-09-04 3:02am
v13
· 4 months ago
2024-07-22 4:43am
v12
· 5 months ago
2024-07-20 7:13am
v11
· 5 months ago
2024-07-20 6:51am
v10
· 5 months ago
2024-07-20 3:58am
v9
· 5 months ago
2024-07-20 3:27am
v8
· 5 months ago
2024-07-20 2:51am
v7
· 5 months ago
2024-07-20 2:50am
v6
· 5 months ago
2024-07-20 2:49am
v5
· 5 months ago
DODOL V10
v4
· 5 months ago
2024-07-07 5:01am
v2
· 6 months ago
2024-07-06 4:26am
v1
· 6 months ago
v25
2024-12-22 3:03pm
Generated on Dec 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.
1269 Total Images
View All ImagesDataset Split
Train Set 87%
1099Images
Valid Set 9%
109Images
Test Set 5%
61Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 11% of images