Dataset Versions
Versions
2023-12-20 3:22pm
v47
· a year ago
2023-12-19 3:20pm
v46
· a year ago
2023-12-08 6:11pm
v45
· a year ago
2023-12-07 6:36pm
v44
· a year ago
2023-12-07 1:24pm
v43
· a year ago
2023-12-04 10:23am
v42
· a year ago
2023-11-30 6:08pm
v41
· a year ago
2023-11-21 4:16pm
v40
· a year ago
2023-10-10 1:16pm
v39
· a year ago
2023-09-27 9:20am
v38
· a year ago
2023-09-27 9:17am
v37
· a year ago
Mislabled Images
v36
· a year ago
2023-09-26 2:50pm
v35
· a year ago
2023-09-26 2:49pm
v34
· a year ago
2023-09-26 12:12pm
v31
· a year ago
2023-09-26 10:05am
v30
· a year ago
2023-08-28 2:18pm
v27
· a year ago
2023-08-23 4:25pm
v26
· a year ago
2023-06-13 9:24am
v22
· 2 years ago
2023-06-12 1:19pm
v21
· 2 years ago
Roboflow Accurate Model
v20
· 2 years ago
Roboflow Fast Model
v19
· 2 years ago
Yolov8 June 9th
v18
· 2 years ago
Yolov5 June 9th
v17
· 2 years ago
2023-05-26 9:58am
v16
· 2 years ago
2023-05-25 11:23am
v15
· 2 years ago
2023-05-16 2:24pm
v14
· 2 years ago
2023-05-16 12:21pm
v13
· 2 years ago
2023-05-08 5:54pm
v12
· 2 years ago
2023-04-25 1:33pm
v11
· 2 years ago
2023-04-19 9:57am
v10
· 2 years ago
2023-03-22 10-20am
v9
· 2 years ago
2023-01-31 4:01pm
v8
· 2 years ago
Yolov5 Pickleball Model
v7
· 2 years ago
Yolov8 Pickleball model
v6
· 2 years ago
2022-11-28 9:50am
v5
· 2 years ago
2022-11-15 3:23pm
v4
· 2 years ago
2022-10-24 12:49pm
v3
· 2 years ago
2022-10-18 2:54pm
v2
· 2 years ago
2022-10-17 8:48pm
v1
· 2 years ago
v31
2023-09-26 12:12pm
Generated on Sep 26, 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.
684 Total Images
View All Images
Dataset Split
Train Set 94%
640Images
Valid Set 4%
28Images
Test Set 2%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 620x620
Augmentations
Outputs per training example: 5
Flip: Horizontal
Hue: Between -13° and +13°
Saturation: Between -8% and +8%
Brightness: Between -13% and +13%
Exposure: Between -12% and +12%
Blur: Up to 0.75px
Noise: Up to 3% of pixels