Dataset Versions
Versions
2024-08-04 6:10pm
v36
· 5 months ago
2024-07-19 9:14am
v35
· 6 months ago
2024-06-17 4:56pm
v34
· 7 months ago
2024-06-17 1:24am
v33
· 7 months ago
2024-06-12 7:05am
v32
· 7 months ago
2024-06-11 4:27pm
v30
· 7 months ago
2024-06-07 6:16am
v29
· 7 months ago
2024-06-04 8:18pm
v28
· 7 months ago
2024-05-30 5:07pm
v27
· 7 months ago
2024-05-26 11:12pm
v26
· 7 months ago
2024-05-14 6:22pm
v23
· 8 months ago
2024-05-09 7:22pm
v22
· 8 months ago
2023-12-03 10:06pm
v21
· a year ago
2023-11-26 10:20pm
v20
· a year ago
2023-11-15 2-18am
v18
· a year ago
2023-10-22 4-06pm
v17
· a year ago
2023-10-17 4:40pm
v16
· a year ago
2023-09-27 12:31am
v15
· a year ago
2023-09-03 10:52pm
v14
· a year ago
2023-08-24 2:02pm
v12
· a year ago
2023-08-14 5:34pm
v11
· a year ago
2023-07-24 1:26am
v9
· a year ago
v36
2024-08-04 6:10pm
Generated on Aug 4, 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.
2342 Total Images
View All ImagesDataset Split
Train Set 91%
2142Images
Valid Set 9%
200Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Shear: ±0° Horizontal, ±15° Vertical
Noise: Up to 1.12% of pixels