Dataset Versions
Versions
2024-04-28 6:38am
v36
· 7 months ago
2024-04-28 6:30am
v35
· 7 months ago
2024-04-28 6:29am
v34
· 7 months ago
2024-04-09 9:44am
v33
· 7 months ago
2024-04-08 11:46pm
v32
· 7 months ago
2024-04-08 11:17pm
v31
· 7 months ago
2024-04-01 11:02pm
v30
· 8 months ago
2024-04-01 10:06pm
v29
· 8 months ago
2024-04-01 10:01pm
v28
· 8 months ago
2024-03-20 1:02am
v26
· 8 months ago
2024-03-18 11:00am
v25
· 8 months ago
2024-03-17 10:44am
v24
· 8 months ago
2024-03-17 1:34am
v23
· 8 months ago
2024-03-17 1:20am
v22
· 8 months ago
2024-03-15 4:14am
v19
· 8 months ago
2024-03-11 4:06am
v18
· 8 months ago
2024-03-11 1:38am
v17
· 8 months ago
2024-03-10 9:00am
v16
· 8 months ago
2024-03-06 11:38pm
v15
· 8 months ago
2024-03-06 2:43pm
v14
· 8 months ago
2024-02-29 11:17am
v13
· 9 months ago
2024-02-28 11:56pm
v12
· 9 months ago
2024-02-28 9:39pm
v11
· 9 months ago
2024-02-28 9:26pm
v10
· 9 months ago
2024-02-24 9:12am
v9
· 9 months ago
2024-02-19 2:23pm
v7
· 9 months ago
2024-02-19 2:48am
v6
· 9 months ago
2024-02-16 10:00pm
v5
· 9 months ago
2024-02-02 12:41am
v4
· 10 months ago
2024-02-01 11:26pm
v1
· 10 months ago
v18
2024-03-11 4:06am
Generated on Mar 11, 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.
1635 Total Images
View All Images
Dataset Split
Train Set 87%
1428Images
Valid Set 10%
170Images
Test Set 2%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 6
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%