Dataset Versions
Versions
2024-11-05 10:53am
v26
· 10 hours ago
2024-11-05 10:45am
v25
· 10 hours ago
2024-11-04 3:51pm
v24
· a day ago
2024-10-27 2:03pm
v23
· 9 days ago
2024-10-27 12:14pm
v22
· 9 days ago
2024-10-27 11:59am
v21
· 9 days ago
2024-10-27 11:49am
v20
· 9 days ago
2024-10-27 11:48am
v19
· 9 days ago
2024-10-27 7:10am
v18
· 10 days ago
2024-10-27 6:48am
v17
· 10 days ago
2024-10-27 6:27am
v16
· 10 days ago
2024-10-27 5:51am
v15
· 10 days ago
2024-10-27 4:24am
v14
· 10 days ago
2024-10-26 6:17pm
v13
· 10 days ago
2024-10-26 4:13pm
v12
· 10 days ago
2024-10-26 3:30pm
v11
· 10 days ago
2024-10-26 2:54pm
v10
· 10 days ago
2024-10-22 12:52pm
v9
· 14 days ago
2024-10-22 12:36pm
v8
· 14 days ago
2024-10-21 5:35pm
v7
· 15 days ago
2024-10-21 3:03pm
v6
· 15 days ago
2024-10-21 1:09pm
v5
· 15 days ago
2024-10-21 11:33am
v4
· 15 days ago
2024-09-15 5:56pm
v3
· 2 months ago
2024-09-15 5:54pm
v2
· 2 months ago
2024-09-15 4:54pm
v1
· 2 months ago
v26
2024-11-05 10:53am
Generated on Nov 5, 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.
193 Total Images
View All ImagesDataset Split
Train Set 89%
171Images
Valid Set 7%
13Images
Test Set 5%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%