Dataset Versions
Versions
2024-11-27 6:29pm
v32
· 3 days ago
2024-11-27 6:08pm
v31
· 3 days ago
2024-11-27 6:01pm
v30
· 3 days ago
2024-11-27 6:00pm
v29
· 3 days ago
2024-11-27 5:57pm
v28
· 3 days ago
2024-11-27 3:30pm
v27
· 3 days ago
2024-11-27 3:27pm
v26
· 3 days ago
2024-11-27 3:26pm
v25
· 3 days ago
2024-11-27 3:20pm
v24
· 3 days ago
2024-11-27 3:19pm
v23
· 3 days ago
2024-11-27 3:06pm
v22
· 3 days ago
2024-11-27 2:54pm
v21
· 3 days ago
2024-11-27 2:44pm
v20
· 3 days ago
2024-11-27 2:32pm
v19
· 3 days ago
2024-11-27 2:07pm
v18
· 3 days ago
2024-11-27 2:07pm
v17
· 3 days ago
2024-11-27 2:05pm
v16
· 3 days ago
2024-11-27 2:05pm
v15
· 3 days ago
2024-11-27 2:03pm
v14
· 3 days ago
2024-11-27 2:00pm
v13
· 3 days ago
2024-11-26 3:45pm
v12
· 4 days ago
2024-07-14 4:16pm
v11
· 5 months ago
2024-07-13 7:44pm
v10
· 5 months ago
2024-07-13 7:42pm
v9
· 5 months ago
2024-07-13 7:41pm
v8
· 5 months ago
2024-07-13 7:40pm
v7
· 5 months ago
2024-07-13 7:40pm
v6
· 5 months ago
2024-07-13 7:40pm
v5
· 5 months ago
2024-07-13 7:40pm
v4
· 5 months ago
2024-05-07 5:21pm
v3
· 7 months ago
2024-05-07 5:20pm
v2
· 7 months ago
2024-05-07 4:00pm
v1
· 7 months ago
v23
2024-11-27 3:19pm
Generated on Nov 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.
186 Total Images
View All Images
Dataset Split
Train Set 98%
183Images
Valid Set 1%
2Images
Test Set 1%
1Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -14% and +14%
Blur: Up to 3.1px
Noise: Up to 1.93% of pixels