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dog-and-cat-wwrik/8 (latest)
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dog and cat
Object Detection
Overview
Images
65
Dataset
10
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2024-01-03 1:36am
v10
·
a year ago
2024-01-03 1:32am
v9
·
a year ago
2024-01-03 1:05am
v8
·
a year ago
2023-12-26 2:24am
v7
·
a year ago
2023-12-26 12:24am
v6
·
a year ago
2023-12-26 12:22am
v5
·
a year ago
2023-12-25 11:47pm
v4
·
a year ago
2023-12-25 11:36pm
v3
·
a year ago
2023-12-25 11:20pm
v2
·
a year ago
2023-12-24 11:49pm
v1
·
a year ago
v10
2024-01-03 1:36am
Generated on Jan 2, 2024
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Dataset
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
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65
Total Images
View All Images
Dataset Split
Train Set
86%
56
Images
Valid Set
11%
7
Images
Test Set
3%
2
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
No augmentations were applied.
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