Dataset Versions
Versions
2023-11-23 9:40am
v31
· a year ago
2023-11-23 8:49am
v30
· a year ago
2023-11-23 6:55am
v29
· a year ago
2023-11-23 1:36am
v28
· a year ago
2023-11-23 1:19am
v27
· a year ago
2023-11-22 11:41pm
v26
· a year ago
2023-11-22 11:34pm
v25
· a year ago
2023-11-22 8:35pm
v24
· a year ago
2023-11-22 9:48am
v23
· a year ago
2023-11-22 6:31am
v22
· a year ago
2023-11-22 12:54am
v21
· a year ago
2023-11-21 10:57pm
v20
· a year ago
2023-11-21 10:42pm
v19
· a year ago
2023-11-21 10:11pm
v18
· a year ago
2023-11-21 10:09pm
v17
· a year ago
2023-11-21 10:04pm
v16
· a year ago
2023-11-21 10:03pm
v15
· a year ago
2023-11-21 9:56pm
v14
· a year ago
2023-11-21 5:47pm
v13
· a year ago
2023-11-21 5:37pm
v12
· a year ago
2023-11-21 5:23pm
v11
· a year ago
2023-11-21 4:56pm
v10
· a year ago
2023-11-21 3:18pm
v9
· a year ago
2023-11-21 3:18pm
v8
· a year ago
2023-11-21 3:15pm
v7
· a year ago
2023-11-21 7:01am
v6
· a year ago
2023-11-21 6:12am
v5
· a year ago
2023-11-21 5:44am
v4
· a year ago
2023-11-20 10:06pm
v3
· a year ago
2023-11-20 10:04pm
v2
· a year ago
2023-11-20 9:57pm
v1
· a year ago
v27
2023-11-23 1:19am
Generated on Nov 22, 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.
2100 Total Images
View All ImagesDataset Split
Train Set 90%
1900Images
Valid Set 5%
100Images
Test Set 5%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Tile: 10 rows x 10 columns
Augmentations
No augmentations were applied.