Dataset Versions
Versions
2024-11-13 7:52am
v49
· 8 days ago
2024-11-13 7:11am
v48
· 9 days ago
2024-11-13 3:07am
v47
· 9 days ago
2024-11-13 2:09am
v46
· 9 days ago
2024-11-10 4:38am
v42
· 12 days ago
2024-11-10 3:52am
v41
· 12 days ago
2024-11-06 9:24am
v40
· 15 days ago
2024-11-04 11:09am
v39
· 17 days ago
2024-11-04 8:50am
v38
· 17 days ago
2024-11-03 7:15am
v37
· 19 days ago
2024-11-03 7:03am
v36
· 19 days ago
2024-11-02 7:59am
v35
· 19 days ago
2024-11-02 7:29am
v34
· 19 days ago
2024-11-02 7:25am
v33
· 19 days ago
2024-11-01 9:58am
v32
· 20 days ago
2024-11-01 9:18am
v31
· 20 days ago
2024-10-31 9:54am
v30
· 21 days ago
2024-10-31 6:32am
v29
· 22 days ago
2024-10-29 11:43am
v20
· 23 days ago
2024-10-29 11:24am
v19
· 23 days ago
2024-10-29 9:29am
v18
· 23 days ago
2024-10-29 8:26am
v17
· 23 days ago
2024-10-29 8:26am
v16
· 23 days ago
2024-10-29 7:21am
v15
· 23 days ago
2024-10-29 6:51am
v14
· 24 days ago
2024-10-29 3:46am
v13
· 24 days ago
2024-10-29 3:17am
v12
· 24 days ago
2024-10-28 12:28pm
v11
· 24 days ago
2024-10-28 12:03pm
v10
· 24 days ago
2024-10-28 6:26am
v8
· 25 days ago
2024-10-28 5:47am
v7
· 25 days ago
2024-10-26 8:14am
v5
· a month ago
2024-10-26 6:58am
v4
· a month ago
2024-10-25 8:58am
v3
· a month ago
v48
2024-11-13 7:11am
Generated on Nov 13, 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.
459 Total Images
View All Images
Dataset Split
Train Set 100%
459Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -30% and +30%
Brightness: Between -24% and +24%
Blur: Up to 4.2px
Noise: Up to 2% of pixels