Dataset Versions
Versions
2024-12-10 8:53pm
v29
· 14 days ago
2024-12-10 6:25pm
v28
· 14 days ago
2024-12-09 4:49pm
v27
· 15 days ago
2024-12-09 3:01pm
v26
· 15 days ago
2024-12-09 2:59am
v25
· 15 days ago
2024-12-08 10:31pm
v23
· 16 days ago
2024-12-08 4:59pm
v21
· 16 days ago
2024-12-08 4:50pm
v20
· 16 days ago
2024-12-08 4:49pm
v19
· 16 days ago
2024-12-08 3:38pm
v17
· 16 days ago
2024-12-08 3:02pm
v16
· 16 days ago
2024-12-08 1:48pm
v15
· 16 days ago
2024-12-08 1:41pm
v14
· 16 days ago
2024-12-07 1:57pm
v13
· 17 days ago
2024-12-07 11:21am
v12
· 17 days ago
2024-12-07 11:20am
v11
· 17 days ago
2024-12-07 11:20am
v10
· 17 days ago
2024-12-04 7:21pm
v9
· 20 days ago
2024-12-04 7:20pm
v8
· 20 days ago
2024-12-04 5:44pm
v6
· 20 days ago
2024-12-04 4:26pm
v5
· 20 days ago
2024-12-04 4:14pm
v4
· 20 days ago
2024-12-04 4:13pm
v3
· 20 days ago
2024-12-04 10:41am
v2
· 20 days ago
v9
2024-12-04 7:21pm
Generated on Dec 4, 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.
324 Total Images
View All Images
Dataset Split
Train Set 88%
285Images
Valid Set 10%
33Images
Test Set 2%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -14° and +14°
Exposure: Between -9% and +9%