花卉分类图像包(TF Flower Photos)
真实开源数据集封装(SKU-97):TensorFlow 示例花卉五分类图像。ImageFolder(daisy/dandelion/roses/sunflowers/tulips);开源免费。
提供商: 平台自营
AI 就绪: 可对接训练 / RAG · 查看通道说明 · 同类筛选
专区: AI 语料
交付形态:文件包
适用场景
1 / 5场景说明
本数据包「花卉分类图像包(TF Flower Photos)」适用于以下场景:
1
花卉五分类视觉基线(ImageFolder)
2
农业/园艺品类识别公开教学对照
3
CNN 入门与 TensorFlow/PyTorch 管线联调
4
与 PlantVillage 叶片病害任务对照
不适用于:替代田间标定的品种审定或检疫正式数据。
使用指南
2 / 5通过统一 API 拉取数据(全站接口相同,仅替换 slug)。
-
1
获取凭证
登录 → 购买 → 在 申请 API Key 签发密钥(仅显示一次)
-
2
发起请求
GET /api/v1/data/agriculture-tf-flowers/rows?page=1&size=10,Header:X-API-Key -
3
解析响应
从 JSON 的
rows取数据,用total翻页 -
4
处理错误
401密钥无效 ·403未购买/无权 ·400参数错误 ·429过频 ·502上游失败
数据集说明
3 / 5SKU-97 花卉分类图像包(TF Flower Photos)
- 源:TensorFlow Flower Photos
- 类型:image
- 行业:agriculture
- 许可:Creative Commons Attribution 4.0 International (CC BY 4.0)
字段 Schema
4 / 5{
"classes": [
"daisy",
"dandelion",
"roses",
"sunflowers",
"tulips"
],
"counts_per_class": {
"daisy": 500,
"dandelion": 500,
"roses": 500,
"sunflowers": 500,
"tulips": 500
},
"format": "image_folder",
"image_exts": [
".jpg"
],
"layout": "images/\u003cclass\u003e/*",
"license_hint": "Creative Commons Attribution 4.0 International (CC BY 4.0)",
"source_name": "TensorFlow Flower Photos",
"source_url": "https://www.tensorflow.org/datasets/catalog/tf_flowers"
}
调用示例
5 / 5路径中的 slug 换成已购商品标识即可。完整说明见 API 文档。
curl -H "X-API-Key: ds_你的密钥" \ "https://www.dataocean.zhixxing.cn/api/v1/data/agriculture-tf-flowers/rows?page=1&size=10"
import requests
r = requests.get(
"https://www.dataocean.zhixxing.cn/api/v1/data/agriculture-tf-flowers/rows",
headers={"X-API-Key": "ds_你的密钥"},
params={"page": 1, "size": 10},
timeout=30,
)
r.raise_for_status()
print(r.json())
const apiKey = "ds_你的密钥";
const url = new URL("https://www.dataocean.zhixxing.cn/api/v1/data/agriculture-tf-flowers/rows");
url.searchParams.set("page", "1");
url.searchParams.set("size", "10");
const resp = await fetch(url, {
headers: { "X-API-Key": apiKey },
});
if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
const payload = await resp.json();
console.log(payload);
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
var client = HttpClient.newHttpClient();
var request = HttpRequest.newBuilder()
.uri(URI.create("https://www.dataocean.zhixxing.cn/api/v1/data/agriculture-tf-flowers/rows?page=1&size=10"))
.header("X-API-Key", "ds_你的密钥")
.GET()
.build();
var response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.statusCode());
System.out.println(response.body());
package main
import (
"fmt"
"io"
"net/http"
)
func main() {
req, _ := http.NewRequest("GET",
"https://www.dataocean.zhixxing.cn/api/v1/data/agriculture-tf-flowers/rows?page=1&size=10", nil)
req.Header.Set("X-API-Key", "ds_你的密钥")
resp, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(resp.StatusCode, string(body))
}
using System.Net.Http;
var client = new HttpClient();
client.DefaultRequestHeaders.Add("X-API-Key", "ds_你的密钥");
var json = await client.GetStringAsync("https://www.dataocean.zhixxing.cn/api/v1/data/agriculture-tf-flowers/rows?page=1&size=10");
Console.WriteLine(json);
1 / 5