Dataset Versions
Versions
2023-09-08 11:26am
v39
· a year ago
2023-09-07 9:11pm
v38
· a year ago
2023-09-07 3:44pm
v37
· a year ago
2023-09-07 3:43pm
v36
· a year ago
2023-09-07 3:42pm
v35
· a year ago
2023-09-07 3:39pm
v34
· a year ago
2023-09-07 3:39pm
v33
· a year ago
2023-09-07 3:38pm
v32
· a year ago
2023-09-07 3:37pm
v31
· a year ago
2023-09-07 3:36pm
v30
· a year ago
2023-09-07 3:35pm
v29
· a year ago
2023-09-07 3:34pm
v28
· a year ago
2023-09-07 3:33pm
v27
· a year ago
2023-09-07 3:30pm
v26
· a year ago
2023-09-07 3:29pm
v25
· a year ago
2023-09-07 3:29pm
v24
· a year ago
2023-09-07 3:28pm
v23
· a year ago
2023-09-07 3:27pm
v22
· a year ago
2023-09-07 3:27pm
v21
· a year ago
2023-09-07 3:26pm
v20
· a year ago
2023-09-07 3:25pm
v19
· a year ago
2023-09-07 2:43pm
v18
· a year ago
2023-09-07 2:42pm
v17
· a year ago
2023-09-07 2:41pm
v16
· a year ago
2023-09-07 2:41pm
v15
· a year ago
2023-09-07 2:29pm
v14
· a year ago
2023-09-07 2:08pm
v13
· a year ago
2023-09-05 1:43pm
v12
· a year ago
2023-09-05 1:41pm
v11
· a year ago
2023-09-05 1:40pm
v10
· a year ago
2023-09-05 1:39pm
v9
· a year ago
2023-09-05 1:39pm
v8
· a year ago
2023-09-05 1:39pm
v7
· a year ago
2023-09-05 1:39pm
v6
· a year ago
2023-09-05 1:39pm
v5
· a year ago
2023-09-05 1:39pm
v4
· a year ago
2023-09-05 1:38pm
v3
· a year ago
2023-09-05 1:36pm
v2
· a year ago
2023-09-05 1:29pm
v1
· a year ago
v39
2023-09-08 11:26am
Generated on Sep 8, 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.
296 Total Images
View All Images
Dataset Split
Train Set 87%
258Images
Valid Set 9%
27Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels