Dataset Versions
Versions
2024-12-03 2:29pm
v29
· 12 hours ago
2024-12-03 11:14am
v28
· 15 hours ago
2024-12-03 10:54am
v27
· 15 hours ago
2024-11-30 4:30pm
v26
· 3 days ago
2024-11-29 4:17pm
v25
· 4 days ago
2024-11-29 2:52pm
v24
· 4 days ago
2024-11-27 3:06pm
v23
· 6 days ago
2024-11-27 1:13pm
v22
· 7 days ago
2024-11-26 5:08pm
v21
· 7 days ago
2024-11-26 12:30pm
v20
· 8 days ago
2024-11-25 7:20pm
v19
· 8 days ago
2024-11-25 5:09pm
v18
· 8 days ago
2024-11-22 4:39pm
v17
· 11 days ago
2024-11-21 2:36pm
v16
· 12 days ago
2024-11-21 1:13pm
v15
· 13 days ago
2024-11-19 1:08pm
v14
· 15 days ago
2024-11-19 12:58pm
v13
· 15 days ago
2024-11-18 3:21pm
v12
· 15 days ago
2024-11-18 3:19pm
v11
· 15 days ago
2024-11-16 1:38pm
v10
· 18 days ago
2024-11-14 2:52pm
v9
· 19 days ago
2024-11-12 9:39am
v8
· 21 days ago
2024-11-11 11:47am
v7
· 22 days ago
2024-11-08 9:00am
v6
· 25 days ago
2024-11-06 12:34pm
v5
· a month ago
2024-11-05 6:15am
v4
· a month ago
2024-11-05 5:44am
v3
· a month ago
2024-11-04 12:14pm
v2
· a month ago
2024-11-02 10:16am
v1
· a month ago
v26
2024-11-30 4:30pm
Generated on Nov 30, 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.
7971 Total Images
View All ImagesDataset Split
Train Set 87%
6973Images
Valid Set 8%
669Images
Test Set 4%
329Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°