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go-game-detection/6 (latest)
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Go Game detection
Object Detection
Overview
Images
96
Dataset
7
Model
3
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-05-14 4:46pm
v10
·
2 years ago
2023-05-14 3:19pm
v9
·
2 years ago
2023-05-13 7:27pm
v8
·
2 years ago
2023-05-09 2:41am
v6
·
2 years ago
2023-04-22 9:38pm
v4
·
2 years ago
2023-02-26 6:04pm
v3
·
2 years ago
2023-02-26 5:29pm
v2
·
2 years ago
v6
2023-05-09 2:41am
Generated on May 8, 2023
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Dataset
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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
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258
Total Images
View All Images
Dataset Split
Train Set
94%
243
Images
Valid Set
5%
14
Images
Test Set
0%
1
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Grayscale:
Apply to 10% of images
Hue:
Between -10° and +10°
Brightness:
Between -14% and +14%
Exposure:
Between -15% and +15%
Noise:
Up to 5% of pixels
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