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blueberries_batch
Object Detection
Overview
Images
75
Dataset
7
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2023-10-02 11:51pm
v7
·
a year ago
2023-10-02 11:50pm
v6
·
a year ago
2023-04-13 10:45am
v5
·
2 years ago
2023-01-25 1:37am
v4
·
2 years ago
2022-12-13 6:27pm
v3
·
2 years ago
2022-12-13 3:25pm
v2
·
2 years ago
2022-12-11 7:26pm
v1
·
2 years ago
v7
2023-10-02 11:51pm
Generated on Oct 2, 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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75
Total Images
View All Images
Dataset Split
Train Set
69%
52
Images
Valid Set
16%
12
Images
Test Set
15%
11
Images
Preprocessing
Auto-Adjust Contrast:
Using Adaptive Equalization
Augmentations
No augmentations were applied.
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