Dataset Versions
Versions
2024-12-29 6:11pm
v28
· 5 hours ago
2024-12-29 6:02pm
v27
· 5 hours ago
2024-12-29 1:39pm
v26
· 9 hours ago
2024-12-29 11:46am
v25
· 11 hours ago
2024-12-27 9:00pm
v24
· 2 days ago
2024-12-26 12:53am
v23
· 4 days ago
2024-12-25 10:12pm
v22
· 4 days ago
2024-12-25 9:56pm
v21
· 4 days ago
2024-12-25 6:47pm
v19
· 4 days ago
2024-12-25 5:11pm
v18
· 4 days ago
2024-12-25 5:07pm
v17
· 4 days ago
2024-12-25 4:39pm
v16
· 4 days ago
2024-12-25 4:06pm
v14
· 4 days ago
2024-12-25 3:47pm
v13
· 4 days ago
2024-12-25 3:17pm
v12
· 4 days ago
2024-12-25 2:27pm
v11
· 4 days ago
2024-12-25 2:02pm
v10
· 4 days ago
2024-12-25 1:52pm
v9
· 4 days ago
2024-12-24 7:16pm
v8
· 5 days ago
2024-12-24 6:31pm
v7
· 5 days ago
2024-12-24 6:27pm
v6
· 5 days ago
2024-12-24 6:05pm
v5
· 5 days ago
2024-12-24 5:01pm
v4
· 5 days ago
2024-12-24 4:48pm
v3
· 5 days ago
2024-12-24 4:02pm
v2
· 5 days ago
2024-12-24 3:26pm
v1
· 5 days ago
v24
2024-12-27 9:00pm
Generated on Dec 27, 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.
3337 Total Images
View All ImagesDataset Split
Train Set 87%
2919Images
Valid Set 8%
278Images
Test Set 4%
140Images
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°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Noise: Up to 1.51% of pixels