TRY THIS MODEL
Drop image here to test
basketball-players-fy4c2/13
Versions
2025-03-28 2:40pm
v23
·
2 hours ago
raw-images-scoreboardClassesOnly-noNulls
v22
·
2 years ago
raw-images-scoreboardClassesOnly-withNullImages
v21
·
2 years ago
resize640-aug10x-scoreboardClassesOnly
v20
·
2 years ago
YOLOv8n
v16
·
2 years ago
v3-resized640_allClasses-aug10x-FAST
v13
·
2 years ago
v3-resized640_allClasses-aug5x-FAST
v12
·
2 years ago
v2-resized640_allClasses-aug10x-FAST
v8
·
2 years ago
v1-resized640_allClasses-aug10x-FAST
v2
·
2 years ago
original_raw-images
v1
·
2 years ago
v13
v3-resized640_allClasses-aug10x-FAST
Generated on
Dec 18, 2022
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.
1029 Total Images
View All Images
Dataset Split
Train
Set
95%
980Images
Valid
Set
3%
28Images
Test
Set
2%
21Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
10
Flip:
Horizontal
Crop:
0% Minimum Zoom, 20% Maximum Zoom
Rotation:
Between -12° and +12°
Shear:
±2° Horizontal, ±2° Vertical
Grayscale:
Apply to 10% of images
Hue:
Between -15° and +15°
Saturation:
Between -15% and +15%
Brightness:
Between -15% and +15%
Exposure:
Between -15% and +15%
Blur:
Up to 0.5px
Cutout:
5 boxes with 2% size each