Dataset Versions
Versions
2024-12-11 1:02am
v27
· 10 days ago
2024-12-03 8:28pm
v26
· 17 days ago
2024-12-03 1:21pm
v25
· 17 days ago
2024-12-03 8:43am
v24
· 17 days ago
2024-12-02 10:50pm
v23
· 18 days ago
2024-12-01 11:29pm
v22
· 19 days ago
2024-10-19 2:29am
v21
· 2 months ago
2024-09-03 9:24am
v20
· 4 months ago
2024-09-03 9:11am
v19
· 4 months ago
2024-08-19 2:59am
v18
· 4 months ago
2024-08-19 2:50am
v17
· 4 months ago
2024-08-18 11:10am
v16
· 4 months ago
2024-08-18 2:42am
v15
· 4 months ago
2024-08-16 5:32pm
v14
· 4 months ago
2024-08-16 5:30pm
v13
· 4 months ago
2024-08-16 12:37pm
v12
· 4 months ago
2024-08-16 12:21pm
v11
· 4 months ago
2024-08-05 1:30pm
v9
· 4 months ago
2024-08-04 4:00pm
v8
· 5 months ago
2024-08-03 3:08pm
v7
· 5 months ago
2024-07-20 12:59pm
v6
· 5 months ago
2024-07-14 5:03pm
v1
· 5 months ago
v26
2024-12-03 8:28pm
Generated on Dec 3, 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.
3523 Total Images
View All Images
Dataset Split
Train Set 92%
3252Images
Valid Set 4%
137Images
Test Set 4%
134Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%