Dataset Versions
Versions
2024-08-05 1:32pm
v32
· 5 months ago
2024-08-05 1:24pm
v31
· 5 months ago
2024-08-05 11:02am
v30
· 5 months ago
2024-08-05 10:53am
v29
· 5 months ago
2024-08-05 10:21am
v28
· 5 months ago
2024-08-04 6:32pm
v27
· 5 months ago
BalancedWithSmartPol
v26
· 5 months ago
2024-07-05 2:50pm
v25
· 6 months ago
2024-07-05 2:49pm
v24
· 6 months ago
2024-06-22 9:44am
v18
· 6 months ago
2024-06-22 9:30am
v17
· 6 months ago
2024-06-22 9:28am
v16
· 6 months ago
2024-06-21 8:02am
v15
· 6 months ago
2024-06-20 5:38pm
v14
· 6 months ago
2024-06-20 5:37pm
v13
· 6 months ago
2024-06-18 10:13am
v12
· 6 months ago
2024-06-14 3:13pm
v11
· 6 months ago
2024-06-14 2:06pm
v9
· 6 months ago
2024-06-14 2:03pm
v8
· 6 months ago
2024-06-14 1:33pm
v7
· 6 months ago
2024-06-14 8:08am
v6
· 6 months ago
2024-06-13 12:36pm
v5
· 6 months ago
2024-06-10 1:20pm
v2
· 6 months ago
2024-06-08 12:29pm
v1
· 7 months ago
v14
2024-06-20 5:38pm
Generated on Jun 20, 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.
2734 Total Images
View All ImagesDataset Split
Train Set 81%
2211Images
Valid Set 10%
263Images
Test Set 10%
260Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -24% and +24%