Dataset Versions
Versions
2023-08-22 11:59am
v66
· a year ago
2023-08-21 5:03pm
v64
· a year ago
2023-08-21 3:45pm
v60
· a year ago
2023-08-21 10:32am
v59
· a year ago
2023-08-21 10:30am
v58
· a year ago
2023-08-21 10:27am
v57
· a year ago
2023-08-21 10:21am
v56
· a year ago
2023-08-21 10:16am
v55
· a year ago
2023-08-17 5:48pm
v54
· a year ago
2023-08-17 5:48pm
v53
· a year ago
2023-08-17 4:26pm
v52
· a year ago
2023-08-17 3:36pm
v51
· a year ago
2023-08-17 2:48pm
v50
· a year ago
2023-08-17 2:37pm
v49
· a year ago
2023-08-17 12:25pm
v48
· a year ago
2023-08-17 11:45am
v47
· a year ago
2023-08-17 11:15am
v46
· a year ago
2023-08-17 10:51am
v45
· a year ago
2023-08-17 10:30am
v44
· a year ago
2023-08-16 9:06pm
v43
· a year ago
2023-08-16 9:05pm
v42
· a year ago
2023-08-16 9:04pm
v41
· a year ago
2023-08-16 9:02pm
v40
· a year ago
2023-08-16 9:00pm
v39
· a year ago
2023-08-16 8:59pm
v38
· a year ago
2023-08-16 8:57pm
v37
· a year ago
2023-08-16 8:52pm
v36
· a year ago
2023-08-16 8:51pm
v35
· a year ago
2023-08-16 8:50pm
v34
· a year ago
2023-08-16 8:49pm
v33
· a year ago
2023-08-16 8:47pm
v32
· a year ago
2023-08-16 8:44pm
v31
· a year ago
2023-08-16 8:41pm
v30
· a year ago
2023-08-16 8:34pm
v29
· a year ago
2023-08-16 8:33pm
v28
· a year ago
2023-08-16 8:31pm
v27
· a year ago
2023-08-16 8:29pm
v26
· a year ago
2023-08-16 8:28pm
v25
· a year ago
2023-08-16 8:26pm
v24
· a year ago
2023-08-16 8:25pm
v23
· a year ago
v66
2023-08-22 11:59am
Generated on Aug 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.
500 Total Images
View All Images
Dataset Split
Train Set 56%
279Images
Valid Set 9%
43Images
Test Set 36%
178Images
Preprocessing
Resize: Stretch to 1280x1280
Modify Classes: 9 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -24% and +24%
Brightness: Between -25% and +25%