Dataset Versions
Versions
2024-03-21 10:18pm
v26
· 9 months ago
2024-03-21 10:14pm
v25
· 9 months ago
2024-03-21 10:06pm
v24
· 9 months ago
2024-03-21 9:54pm
v23
· 9 months ago
2024-03-21 9:43pm
v22
· 9 months ago
2024-03-21 9:33pm
v21
· 9 months ago
2024-03-21 9:26pm
v20
· 9 months ago
2024-03-21 9:17pm
v19
· 9 months ago
2024-03-20 8:58pm
v18
· 9 months ago
2024-03-20 8:44pm
v17
· 9 months ago
2024-03-20 8:35pm
v16
· 9 months ago
2024-03-20 8:30pm
v15
· 9 months ago
2024-03-20 8:29pm
v14
· 9 months ago
2024-03-20 8:20pm
v13
· 9 months ago
2024-03-20 8:10pm
v12
· 9 months ago
2024-03-20 8:07pm
v11
· 9 months ago
2024-03-20 8:06pm
v10
· 9 months ago
2024-03-14 8:16pm
v9
· 10 months ago
2024-03-14 7:50pm
v8
· 10 months ago
2024-03-13 4:12pm
v7
· 10 months ago
2024-03-13 4:01pm
v6
· 10 months ago
2024-03-03 3:05am
v5
· 10 months ago
2024-02-26 6:47pm
v4
· 10 months ago
2024-02-25 4:51pm
v3
· 10 months ago
2024-02-24 11:48pm
v2
· 10 months ago
2024-02-24 11:05pm
v1
· 10 months ago
v26
2024-03-21 10:18pm
Generated on Mar 21, 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.
1322 Total Images
View All ImagesDataset Split
Train Set %
0Images
Valid Set 54%
711Images
Test Set 46%
611Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Exposure: Between -6% and +6%