Dataset Versions
Versions
2023-08-21 9:38am
v38
· a year ago
2023-08-21 2:33am
v37
· a year ago
2023-08-21 2:27am
v36
· a year ago
2023-08-21 12:07am
v35
· a year ago
2023-08-21 12:03am
v34
· a year ago
2023-08-19 8:54pm
v33
· a year ago
2023-08-19 8:37pm
v32
· a year ago
2023-08-19 8:29pm
v31
· a year ago
2023-08-15 1:03pm
v30
· a year ago
2023-08-12 9:07pm
v29
· a year ago
2023-08-12 8:52pm
v28
· a year ago
2023-08-12 8:46pm
v27
· a year ago
2x2tile
v26
· a year ago
gray flip rotate roatition shear
v25
· a year ago
1080Raw
v24
· a year ago
2023-08-04 5:41pm
v23
· a year ago
mosaic_dontuse
v22
· a year ago
Rotate - 90-90-180
v17
· a year ago
FLIP - h-v
v16
· a year ago
grayscale x3 50-
v15
· a year ago
grayscale x3 30-
v14
· a year ago
shear x3 H37 v11
v11
· a year ago
shear x3 H15 V10-Lee
v10
· a year ago
shear x3_H15_V10_duplicated
v9
· a year ago
shear x3 H30 V17 M
v8
· a year ago
grayscale _70_x3_Jeong
v7
· a year ago
cutout x3
v5
· a year ago
shear-rotation
v3
· a year ago
raw_remap
v2
· a year ago
raw 1
v1
· a year ago
v35
2023-08-21 12:07am
Generated on Aug 20, 2023
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.
1875 Total Images
View All Images
Dataset Split
Train Set 100%
1869Images
Valid Set %
0Images
Test Set 0%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 312x416
Modify Classes: 100 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images