Dataset Versions
Versions
2022-08-02 4:06am
v26
· 2 years ago
2022-08-02 3:42am
v25
· 2 years ago
2022-08-01 1:38pm
v24
· 2 years ago
2022-07-31 6:51pm
v23
· 2 years ago
2022-07-31 6:07am
v22
· 2 years ago
2022-07-30 11:40pm
v21
· 2 years ago
2022-07-30 10:56pm
v20
· 2 years ago
2022-07-30 6:59pm
v19
· 2 years ago
2022-07-14 10:10am
v18
· 2 years ago
2022-06-26 8:44am
v17
· 2 years ago
2022-06-26 8:25am
v16
· 2 years ago
2022-06-26 8:23am
v15
· 2 years ago
2022-06-26 7:32am
v14
· 2 years ago
2022-06-26 6:21am
v13
· 2 years ago
2022-06-25 7:21pm
v12
· 2 years ago
2022-06-25 6:10pm
v11
· 2 years ago
2022-06-25 6:08pm
v10
· 2 years ago
2022-06-25 5:42pm
v9
· 2 years ago
2022-06-19 10:42pm
v8
· 3 years ago
2022-06-19 10:39pm
v7
· 3 years ago
2022-06-19 10:16pm
v6
· 3 years ago
2022-06-09 3:12pm
v5
· 3 years ago
2022-06-05 3:16pm
v4
· 3 years ago
2022-06-05 2:24pm
v3
· 3 years ago
2022-06-05 1:53pm
v2
· 3 years ago
2022-06-05 12:58am
v1
· 3 years ago
v15
2022-06-26 8:23am
Generated on Jun 26, 2022
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.
694 Total Images
View All Images
Dataset Split
Train Set 95%
660Images
Valid Set 4%
25Images
Test Set 1%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -99% and +99%
Exposure: Between -99% and +99%
Blur: Up to 25px
Noise: Up to 25% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -99% and +99%