Dataset Versions
Versions
2023-06-29 12:22am
v40
· a year ago
2023-06-24 10:38pm
v39
· 2 years ago
2023-06-24 4:39pm
v38
· 2 years ago
2023-06-23 6:34pm
v37
· 2 years ago
2023-06-23 4:14pm
v36
· 2 years ago
2023-06-23 3:27pm
v35
· 2 years ago
2023-06-21 2:11am
v34
· 2 years ago
2023-06-21 1:22am
v33
· 2 years ago
2023-06-20 11:32pm
v32
· 2 years ago
2023-06-20 3:53pm
v31
· 2 years ago
2023-06-20 11:17am
v30
· 2 years ago
2023-06-20 11:12am
v29
· 2 years ago
2023-06-20 8:40am
v28
· 2 years ago
2023-06-19 4:19am
v27
· 2 years ago
2023-06-18 5:10am
v26
· 2 years ago
2023-06-18 2:12am
v25
· 2 years ago
2023-06-15 4:04pm
v24
· 2 years ago
2023-06-14 3:54am
v23
· 2 years ago
2023-06-14 2:22am
v22
· 2 years ago
2023-06-14 1:58am
v21
· 2 years ago
2023-06-10 4:42pm
v20
· 2 years ago
2023-06-09 2:48pm
v19
· 2 years ago
2023-06-09 2:31pm
v18
· 2 years ago
2023-06-09 2:31pm
v17
· 2 years ago
2023-06-09 1:22pm
v16
· 2 years ago
2023-06-07 4:31pm
v15
· 2 years ago
2023-06-06 11:51pm
v14
· 2 years ago
2023-06-06 3:31pm
v13
· 2 years ago
2023-06-04 10:42pm
v12
· 2 years ago
2023-06-04 4:10am
v11
· 2 years ago
2023-06-04 4:08am
v10
· 2 years ago
2023-06-03 5:44pm
v9
· 2 years ago
2023-06-03 5:11pm
v8
· 2 years ago
2023-06-02 8:06pm
v7
· 2 years ago
2023-06-02 7:39pm
v6
· 2 years ago
2023-06-01 6:05pm
v5
· 2 years ago
2023-06-01 4:46pm
v4
· 2 years ago
2023-06-01 3:32pm
v3
· 2 years ago
2023-05-31 11:35pm
v2
· 2 years ago
2023-05-31 11:19pm
v1
· 2 years ago
v35
2023-06-23 3:27pm
Generated on Jun 23, 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.
3883 Total Images
View All Images
Dataset Split
Train Set 92%
3573Images
Valid Set 4%
158Images
Test Set 4%
152Images
Preprocessing
Auto-Orient: Applied
Static Crop: 14-86% Horizontal Region, 14-86% Vertical Region
Resize: Stretch to 260x260
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 100% of images
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Exposure: Between -50% and +50%