Dataset Versions
Versions
2024-05-09 10:11am
v35
· 10 months ago
2024-03-25 4:46pm
v34
· a year ago
2024-03-25 4:44pm
v32
· a year ago
2024-03-25 4:43pm
v31
· a year ago
2024-03-25 4:42pm
v30
· a year ago
2024-03-25 4:42pm
v29
· a year ago
2024-03-25 4:41pm
v28
· a year ago
2024-03-25 4:40pm
v27
· a year ago
2024-03-25 4:38pm
v26
· a year ago
Brightness- dark
v25
· a year ago
Saturation
v24
· a year ago
Hue
v23
· a year ago
Grayscale
v22
· a year ago
Rotation
v21
· a year ago
90- Rotate- Upside Down
v20
· a year ago
90- Rotate- Counter-Clockwise
v19
· a year ago
90- Rotate- Clockwise
v18
· a year ago
Vertical
v17
· a year ago
Horizontal
v16
· a year ago
251images
v15
· a year ago
2024-03-24 12:48pm
v14
· a year ago
2024-01-10 2:51pm
v13
· a year ago
2024-01-08 10:01pm
v11
· a year ago
2024-01-08 1:03pm
v9
· a year ago
2024-01-05 1:56pm
v6
· a year ago
2024-01-05 12:32pm
v5
· a year ago
2023-12-16 12:37am
v1
· a year ago
v13
2024-01-10 2:51pm
Generated on Jan 10, 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.
582 Total Images
View All ImagesDataset Split
Train Set 92%
537Images
Valid Set 8%
45Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Noise: Up to 10% of pixels